67 statistics "Eindhoven University of Technology (TU" Postdoctoral positions in Netherlands
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data and next level statistics? And does your drive include educating the biosystems engineers of the future? Then we are looking for you! Developments in AI and IoT are changing the world. And not just
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and state welfare provision data, available as reports and regional statistics; (meso-level) collective coping strategies through social organisations, collected through their archives and witness
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years. We will analyse: (macro-level) population trajectories and state welfare provision data, available as reports and regional statistics; (meso-level) collective coping strategies through social
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Department of IBED. It will involve collaborations with other partners from the Netherlands (e.g. SOVON, CBS Statistics Netherlands, Netherlands Institute of Ecology NIOO-KNAW, University of Tilburg
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strong background and interest in conservation. The ideal candidate is able to work independently, and has proven experience with managing running field experiments, statistical data analyses, and
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, and with a strong background and interest in conservation. The ideal candidate is able to work independently, and has proven experience with managing running field experiments, statistical data analyses
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, and has proven experience with managing running field experiments, statistical data analyses, and scientific writing. Knowledge of the study system (salt marshes) is beneficial. Good proficiency
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from the Netherlands (e.g. SOVON, CBS Statistics Netherlands, Netherlands Institute of Ecology NIOO-KNAW, University of Tilburg, Naturalis Biodiversity Centre) and abroad (Forest Science and Technology
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: a PhD degree in Microbiology, Computational Biology, Bioinformatics, Statistical Genomics, Epidemiology or a related discipline; affinity with microbiology, genomics and an understanding of microbiome
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, an independent thinker, have excellent writing skills, and are a team player. You hold a PhD in epidemiology, (medical) statistics, or a related discipline. Affinity with environmental health and OMICs data is