[ABE-L] Post-doc in statistical genetics - Roslin Institute, University of Edinburgh

Qua Fev 4 09:41:59 -03 2015

link correto:
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=032488

On Wed, Feb 4, 2015 at 11:40 AM, Osvaldo Junior <junior242 em gmail.com> wrote:

> Prezado Paulo,
>
> A descrição completa da vaga, incluindo principais tarefas e
> responsabilidades, encontra-se em
>
>
> https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.display_form
>
> Não hesite em me escrever caso necessite de esclarecimentos adicionais.
>
> um abraço,
> Osvaldo
>
> On Wed, Feb 4, 2015 at 11:27 AM, <poliveir em ime.usp.br> wrote:
>
>> Prezado Osvaldo Júnior
>>
>> Sou Paulo Tadeu e gostaria de saber mais detalhes sobre essa proposta de
>> pos doc em Genética Estatística na Escócia. Poderia, por favor, enviar mais
>> informações que por ventura tiver?
>>
>> Saudações,
>>
>>               Paulo Tadeu Oliveira
>>
>>
>> Citando Osvaldo Junior <junior242 em gmail.com>:
>>
>>
>>  Prezados redistas,
>>>
>>> Abaixo encontra-se a descrição de uma oportunidade de trabalho no Roslin
>>> Institute (Edimburgo, Escócia). Interessados podem também entrar em
>>> contato
>>> comigo.
>>>
>>> att.,
>>> Osvaldo
>>>
>>>
>>>
>>> ---------------------------------------
>>> Genetic analysis of infectious disease outbreaks in livestock populations
>>>
>>> Post-doc position in the Division of Genetics and Genomics, The Roslin
>>> Institute and R(D)SVS, The University of Edinburgh, Scotland, UK.
>>>
>>> A post-doc position in statistical genetics is available at the Roslin
>>> Institute to determine host genetic influences underlying infectious
>>> disease outbreaks in livestock populations.  The successful candidate
>>> will
>>> contribute to two international collaborative projects aiming to
>>> determine
>>> the genetic basis of infectious disease outbreaks in aquaculture.  In
>>> particular, we will analyse epidemiological data from diverse fish
>>> disease
>>> challenge experiments generated within these projects with the aim to
>>> quantify genetic susceptibility, infectivity and tolerance of fish to
>>> diseases of major importance to the aquaculture industry. The knowledge
>>> will be utilized to design new genetic disease control strategies.  For
>>> this purpose we will implement and further develop a variety of
>>> state-of-the art inference methods in statistical genetics applied to
>>> time
>>> to infection or death as well as to cross-sectional and longitudinal
>>> binary
>>> disease data, including MCMC methods for quantitative genetics models of
>>> infection dynamics recently developed by our team. The work will be
>>> carried
>>> out in close collaboration with quantitative geneticists and aquaculture
>>> specialists in the UK, Spain and Norway. The post-doc will also
>>> contribute
>>> to the development and application of mathematical simulation models and
>>> experimental designs to assess how host genetics affects disease spread
>>> and
>>> impact in genetically diverse livestock populations.
>>>
>>> Qualifications:
>>> The post-holder must have a PhD in a mathematical or statistical
>>> discipline
>>> with a substantial quantitative component (e.g. mathematics, statistics,
>>> theoretical biology or physics, quantitative genetics), together with
>>> evidence of skills and training in mathematical modelling and statistical
>>> inference.
>>>
>>> Essential requirements:
>>>
>>> •       Experience of Bayesian statistics, Markov chain Monte Carlo or
>>> related techniques for statistical inference of dynamic processes.
>>> •       Excellent programming skills and experience in writing
>>> computational code for analysing or modelling dynamic processes.
>>> •       Experience in a range of statistical techniques for mixed model
>>> analyses of multivariate data. A track record of research outputs,
>>> publications in peer reviewed scientific journals and presentations at
>>> scientific conferences.
>>> •       Excellent written and verbal communication skills; ability to
>>> communicate findings to other researchers with different research
>>> backgrounds.
>>>
>>> The ideal candidate for this post will further have:
>>>
>>> •       Experience in statistical analysis of genetic or epidemiological
>>> data.
>>> •       Basic knowledge of quantitative genetics applied to livestock
>>> •       A strong interest in multi-disciplinary research and in acquiring
>>> new skills.
>>> •       Experience in collaboration with scientists from other
>>> disciplines.
>>>
>>> Application Details:
>>>
>>> This post is available immediately from a mutually agreed start date.
>>> Initially the post will be a 16 months full-time contract (or longer
>>> part-time position) with a potential for longer-term extension  (funding
>>> dependent).
>>> If interested, please follow the instructions for “Application procedure”
>>> on the Edinburgh website:
>>> https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_
>>> jobspec_version_4.jobspec?p_id=032488
>>> The closing date for applications is February 27th 2015.  Please send
>>> also
>>> a current CV, letter of interest, and contact information for 3
>>> references
>>> to Dr. Andrea Doeschl- Wilson (andrea.wilson em roslin.ed.ac.uk) by 27.
>>> February 2015.  If you have questions about the post, us or our work,
>>> please contact Dr Andrea Doeschl Wilson ( phone +44 -131 - 651 9224 or
>>> above email).
>>>
>>> Some relevant publications:
>>>
>>> Lipschutz-Powell D. et al. 2013. A unifying theory for genetic
>>> epidemiological analysis of binary disease data. Genetics Selection
>>> Evolution. 46:15
>>>
>>> Doeschl-Wilson A.B and Kyriazakis I (2012). Should we aim for genetic
>>> improvement in host resistance or tolerance to infectious pathogens?
>>> Editorial to special research topic: Should we aim for genetic
>>> improvement
>>> of host resistance or tolerance to infectious disease. (eds.
>>> Doeschl-Wilson
>>> A.B. and Kyriazakis I.). Front. Gene. 3:272. doi:
>>> 10.3389/fgene.2012.00272
>>>
>>> Lipschutz-Powell D. et al. 2012. Are we capturing the full heritable
>>> variation underlying disease prevalence? PLoS One. 7(6): e39551.
>>> doi:10.1371/journal.pone.0039551
>>>
>>> Doeschl-Wilson A.B et al.  (2011) Implications of host genetic variation
>>> on
>>> the risk and prevalence of infectious diseases transmitted through the
>>> environment. Genetics. 188: 683-693. doi:10.1534/genetics.110.12562
>>>
>>> We are looking forward to hearing from you!
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> --
>>> osvaldoanacleto.com
>>>
>>
>>
>>
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>
>
> --
> osvaldoanacleto.com
>

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