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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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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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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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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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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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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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, 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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qualifications:- you have completed or are close to completion (about to submit/defend) of your Master in Computer Science, Electrical Engineering, Statistics, Robotics or a related field- strong background in
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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