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) epidemiology, bioinformatics, statistical genetics, data science, machine learning, or a closely related discipline, and have experience with research in obesity, diabetes, cardiovascular disease, and/or life
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Research, University of Copenhagen, Denmark. Candidates should have a strong background in (genetic) epidemiology, bioinformatics, statistical genetics, data science, machine learning, or a closely related
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PhD fellowship in conservation science - developing and validating indicators of ecosystem integrity
experience in field, database and GIS work on biodiversity and ecosystem processes, such as ecohydrology, nutrient dynamics and carbon pools, as well as statistical modelling will be considered assets.Fluency
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in geology, genetics, ecology, evolutionary biology, computer science, statistics, and more. During onboarding, there will be particular emphasis on facilitating integration in the Center and the
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skills written and spoken Desirable experience and skills: Experience in teaching and supervising undergraduate and MSc students Experience in statistical analysis (for example Mixed-Effects models and/or
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calcium imaging. You will play a key role in establishing the behavioral assays, as well as data and statistical analysis and will have a large degree of freedom in shaping the project, based on your