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PhD position that is part of the EU-funded BeyondTheEdge Doctoral Network. The PhD research will focus on the development, evaluation, and application of statistical methods for assessing higher-order
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, you employ DNA-based techniques to increase understanding of the determinants of PABs. These include Mendelian Randomization using publicly available GWAS summary statistics to test the causality
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excellent English communication and writing skills preferably you already have hands-on research experience with experimental research and (advanced) statistical analysis techniques As a university, we strive
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, Statistics, Robotics or a related field strong background in Deep Learning, Reinforcement Learning, and/or Information Theory you possess good skills in Python programming have strong oral and written
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develop, implement and statistically analyse household surveys to investigate (1) whether and how households are included in the governmental adaptation decision processes, (2) how different households
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. Requirements Specific Requirements Candidates need to hold a master's degree (or be close to completion) in econometrics and operations research, statistics, mathematics, computer science, or in similar
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fluent in English. Previous experience with ambulatory psycho(physio)logical assessment is considered an advantage. Previous experience in advanced statistics and programming in R, Python or similar