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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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methodologically strong and motivated to work at the intersection of applied machine learning, social sciences, and natural sciences. Essential qualifications: A completed PhD in data science, computer
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recording. Actively engaging and working closely with our multidisciplinary team of PhD students and postdocs to support them with their own analyses and perform analyses for their projects. Performing
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per week) Participate in academic self-governance Completed relevant university degree (Master's or equivalent) and a completed PhD in sport science, psychology, or a related field Experience in data
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profile We welcome applications from candidates who will have completed their PhD by the start date. Relevant fields include behavioral marketing, psychology, experimental economics, quantitative marketing
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of the research initiative. In addition, you will have opportunities to develop e large collaborative projects with forest network partners, including members of the ForestPlots network. You hold a PhD in forest
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their PhD by the start date. Relevant fields include behavioral marketing, psychology, experimental economics, quantitative marketing, or computer science. For Project A, experience with natural
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. Authoring and co‑authoring peer‑reviewed scientific publications and presenting results at international conferences. Profile PhD in Environmental Science, Environmental Engineering, Ecology, Ecohydraulics