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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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. Experience in advanced data analyses and statistical inferences; Hands-on experience in setting up rodent experimental set-ups Experience with in vivo brain activity measurements in freely moving animals
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applicant has completed a PhD and has a background in environmental humanities, social sciences, ecology, or any other relevant research field, alongside proficiency in statistical and quantitative
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of our planet’s resources, one of the main goals of WUR. Your qualities You possess: A PhD degree in ecology, wildlife biology, conservation biology, statistics, computer vision, data science or a related
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skills in English. You are able to publish in international peer-reviewed journals as a first author. You have experience with multivariate and longitudinal statistical analyses. You are motivated
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., probability theory, statistics, calculus, and linear algebra); Have strong communication, presentation and writing skills; Show commitment, perseverance and a cooperative attitude; Enjoy working in a
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by publications at first-tier journals and conferences; Have excellent programming skills; Have strong mathematical skills (e.g., probability theory, statistics, calculus, and linear algebra); Have
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and statistical skills, including the use of programming languages (e.g. R, Python); You have excellent English language and communication skills; You are a team player and can easily link to other
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skills, have preferably experience with both stakeholder interaction and model development; Good analytical and statistical skills, including the use of programming languages (e.g. R, Python); You have