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on hierarchical Bayesian models that allow us to integrate heterogeneous, but complementary, ecological and environmental data. Depending on the background and interest of the candidate, the work will focus on a
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are seeking a postdoctoral researcher to develop methods for analyzing large scale biodiversity and ecosystem function data. Our approach is based on hierarchical Bayesian models that allow us to integrate
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) or other expertise relevant to the project objectives (see above) Early career track record including publications or other outputs in the related field In case your background is in psychology or medicine
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bioinformatics tools (preferably using R) Has solid track record and strong scientific drive Ability to work independently and collaboratively in a diverse team environment Has strong interpersonal skills with
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molecular biology methods on biological samples, and analysing clinical trial data using advanced bioinformatics tools (preferably using R) Has solid track record and strong scientific drive Ability to work
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group has an established track record in international collaboration and EU-funded projects, and maintains close links with leading academic and professional partners worldwide. The position is based in
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are highly advantageous for your candidature. Proven track record in relevant projects and high-quality journals/conferences/projects, on the topics related to the position, is an additional advantage. You
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to have a proven track record in experimental research with similar or related topics, cleanroom microfabrication, and strong interest in micromechanical systems. Additionally, the candidates should be
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qualifications PhD in astronomy or a closely related field Strong background in radio astronomy Experience in radio polarization observations or data reduction pipeline development A good track record of
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commercial developers? Do you want a career that involves research and science but isn't the academic tenure track? The Academic Research Software Engineer position is your next step on that path