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Thursday
Dec012016

One-year postdoctoral position (population genomics) - INRA Angers (France)

One-year postdoctoral position in population genomics at INRA Angers, France
Did host domestication promote pathogen diversification?

Since the beginning of agriculture, hybridization of wild plant with their relatives has led to a generation of new crops with higher agronomic and economic added values. For instance, the dessert apple Malus x domestica is a hybrid between its main contributor, Malus sieversii, endemic in Central Asia and Malus orientalis and Malus sylvestris, respectively endemic in Caucasus and Europe. Alongside the main fungal disease on Malus species caused by the ascomycete Venturia inaequalis also originates Central Asia on M. sieversii and has followed its newly domesticated host toward Europe. V. inaequalis has therefore experienced the many hybridization events of its hosts. Our lab conducts research on the interaction between the scab fungus Venturia inaequalis and its host plants, including domesticated and wild apple trees. Here, we aim at understanding how successive hybridization events between Malus species during apple domestication have modified the pathogenicity determinants of V. inaequalis. Indeed, Although V. inaequalis can infect each Malus species, isolates obtained from the different hosts differ in their virulence. Secreted effector proteins are known to be key determinants of the virulence of fungal pathogens, we will thus focus on the polymorphism of the secretome of V. inaequalis isolated on different Malus species. The polymorphism (including absence/presence) of expressed genes in V. inaequalis populations will then be determined using the 50 genome sequences already available. Coalescence-based analyses will permit to determine the origin of effector alleles that are segregating in strains that infect domestic apple trees. We will test whether new alleles involved in pathogenicity were either introgressed from standing variation preexisting in populations of V. inaequalis on different European and Caucasian wild Malus trees or originated from de novo adaptation. The research will employ interdisciplinary approaches, including pathogenicity data, genomic and RNA-seq analyses. Thanks to the well described evolutionary histories of both V. inaequalis and Malus species, this project will provide new insights into how new fungal pathogens emerge.

Job requirements

Candidates should have obtained a PhD in Biology, genetics, evolutionary ecology, populations genomic. Skills in Next Generation Sequencing data analysis are highly desirable. Experience in coalescent analysis and practical knowledge in bioinformatics are advantageous. Candidates must have proficiency in oral and written English.

Job details

The position is full-time for 12 months.Net salary on appointment will start from €2,100 to €2,500 per month depending on experience. The applicant will have the possibility to obtain an additional mobility allowance from the AgreenSkills+ scheme ranging from €1,300 to €1,700 per month depending on experience. The applicant will be also encouraged to apply to agreenskills to extend their stay by up to 24 months (www.agreenskills.eu).

Application

The position is available to start as soon as possible up to January 2017. Applications should include a cover letter summarizing your experience and describing your research interests, curriculum vitae, and two references. Applications should be emailed to bruno.le-cam@inra.fr For further information, please contact Dr. B. Le Cam (email: bruno.le-cam@inra.fr tel.: +33(0)2-41-22-57-35) or Dr. C. Lemaire (email: Christophe.lemaire@univ-angers.fr)

Organization description

Institut de Recherche en Horticulture et Semences (IRHS) UMR1345 INRA – Université d’Angers – Agro Campus Ouest Evolutionary Ecology of Fungi (EcoFun) 42 rue Georges Morel 49071 Beaucouzé Cedex http://www6.angers-nantes.inra.fr/irhs/Recherche/EcoFun

The candidate will be located in IRHS, Angers, which leads research on ornamentals, fruit trees and seeds in France, including research on fungi that are pathogenic on Rosaceae plants (apple, pear, rose). The candidate will have the opportunity to interact with other research teams within the institute; and will interact with scientists with knowledge in functional genomics, molecular plant pathology, epidemiology and modelling within the EcoFun team.

Life in the Loire Valley

The laboratory is located near Angers, in the Loire Valley. This region is often called the garden of France because of fruits and vegetables production, and green calm landscapes. It is also famous for a gentle way of life, high quality regional food and wines. The banks of the Loire River are very touristic in summer. They offer diverse outdoor activities, from biking to walking in rose gardens and visiting the numerous châteaux.

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Wednesday
Nov302016

Bioinformatics Research Assistant or Research Associate - Systems Biology Initiative, University of New South Wales

Expressions of Interest – Bioinformatics Research Assistant or Research Associate

The Systems Biology Initiative, at the University of New South Wales, is seeking expressions of interest from dynamic bioinformaticians. We are seeking either outstanding honours / masters graduates (as Research Assistants) or doctorate-qualified researchers (as Research Associates) to join a team that focus on systems-level analysis of 'omics data. Projects predominantly involve working with NGS, networks and proteomic information.

Positions are full time, for 12 months, with the possibility of renewal.

Research staff from the Systems Biology Initiative will be at the upcoming ABACBS conference. They'd be very happy to meet you. Please contact Marc Wilkins (details below) if you'd like to discuss the positions with one of the team. If you won't be at the conference, but you're also interested, also feel free to get in touch.

Positions will be advertised shortly via SEEK and Jobs@UNSW.
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Sunday
Nov272016

Senior Bioinformatician / Computational Biologist - QFAB Bioinformatics

Working at the interface of molecular biology and data science, the position requires the mastering of computational techniques to increase the insights obtainable from high-throughput measurement platforms in biology that include microarrays, next generation sequencing and proteomics profiling.

The types of analysis include but are not limited to:

  • Genome assembly and annotations
  • Transcriptome and pathways analysis
  • Metagenomics analysis

Statistical analysis, data mining and modelling of omics and other experimental data

The position involves gathering research requirements, developing research proposals and delivering efficient solutions. A high degree of autonomy and professionalism is required.

Enquiries

To discuss this role please contact Dr Dominique Gorse on +61 7 3346 2624 or d.gorse@qfab.org. Apply through UQ JOBS to submit an application for this role (job number 499601). Applications Close: 27 November 2016.

About QFAB Bioinformatics

QFAB Bioinformatics is a leading provider of bioinformatics, biostatistics and biodata services for life science and clinical research. Working closely with researchers, we apply data management, integration, analysis and visualisation techniques to maximise the value of large-scale biological and clinical datasets. We are based at the University of Queensland, Brisbane – Australia (http://qfab.org)

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Sunday
Nov202016

Research Associate / Research Fellow (Clinical Pharmacology / Toxicology) - University of Sydney

Sydney Medical School Reference no. 1785/1016

  • Work with internationally renowned experts
  • Key role in collaborative NHMRC research program
  • Full-time or part-time flexibility, fixed term for two years, remuneration package: full-time $82K-$139K p.a. which includes base salary, leave loading and up to 17% superannuation

The University of Sydney is Australia's first university and has an outstanding global reputation for academic and research excellence. It employs over 7600 permanent staff, supporting over 60,000 students.

We are seeking a number of researchers to support an NHMRC funded Translational Australian Clinical Toxicology (TACT) program grant under Professor Nick Buckley in the Discipline of Pharmacology. The program aims to address research gaps in in key human toxicology issues and ensure rapid translation of these results into practice and regulation. The group has established the two largest clinical cohort studies on poisoning in the world and demonstrated success in prospective case-finding through the Poisons Information Centre network. We also have extensive experience in risk assessment and toxicity modelling.

You will carry out research relating to the group’s work, contribute to presentations and research publications and help build research capacity by assisting in sourcing and securing further funding. You will also have the opportunity to develop your own research ideas within TACT’s program of work.

You will be working with internationally renowned experts, within one of only a few research collaborative groups in the world working in this area. The group includes national and international collaborators as well as overseas research sites in Sri Lanka.

To succeed in securing this role you will have:

  • experience in research project coordination in a related area
  • demonstrated knowledge of research governance and regulation
  • knowledge of research design methods, particularly in epidemiological methodology
  • experience in preparation of scientific publications
  • experience in preparing and submitting ethics applications
  • excellent oral and written communication skills
  • excellent organisation skills.

For appointment at the more senior level you will also have:

  • experience in research project management (desirable)
  • a history of research evidenced by peer reviewed publications
  • demonstrated knowledge of research governance and regulation including ethics
  • experience in writing and submitting grant applications
  • experience in writing scientific publications, particularly peer reviewed journal articles
  • experience with higher degree research student supervision or co-supervision (desirable).

All candidates are expected to have research qualifications (e.g. Hons/MPhil/PhD), or demonstrate equivalent relevant qualifications and experience. A PhD or equivalent is required for appointment at the more senior level.

The appointment would be for an initial term of two years with the possibility of renewal dependent upon funding and need.

All applications must be submitted via the University of Sydney careers website. Visit sydney.edu.au/recruitment and search by the reference number for more information and to apply.

CLOSING DATE: 11pm 20 November 2016

The University is an equal opportunity employer committed to equity, diversity and social inclusion. Applications from equity target groups, including women and people with disabilities are encouraged. As the University of Sydney has established a scheme to increase the number of Aboriginal and Torres Strait Islander staff employed across the institution, applications from people of Aboriginal and Torres Strait Islander descent are also encouraged.

© The University of Sydney

The University reserves the right not to proceed with any appointment.

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Friday
Nov182016

Data Scientist - Orion Health

We have openings for a Data Scientists to provide data analytics capability that ensures we can create solutions for our Customers that embody precision healthcare: that every individual receives the right care for themselves.

As part of our Research team, you will be at the heart of our precision-driven health partnership with DHBs and universities. Future healthcare will combine all information unique to an individual, and identify prevention and treatment strategies that will be effective for the individual based on genetic, environmental and lifestyle factors.

So as a Data Scientist, you'll be contributing towards designing the future of precision health, mining and analysing increasing volumes of data to produce software tools to optimise the health of each individual. This means our data scientists integrate and analyse medical records, genomic data, device data, social data, and environmental data, discovering what really makes people live healthy lives.

Your key performance areas will be cover the full data science spectrum including obtaining and analysing healthcare-related data sets, communicating with key stakeholders within Orion Health and within our research programme to ensure our solutions achieve the desired outcome for our customers and software and algorithm development including the introduction of machine learning into our products. You'll also ensure our internal systems are composed of leading-edge design and technology.

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