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of science and issues of Global North-South disparities in research Strong background in computational social science and/or quantitative social science methods. Firm knowledge of conducting statistical
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Microsoft Office, SPSS or similar statistical software, and preferably R or a similar (statistical) programming language You are a team player who wants to contribute to the research agenda of ESHPM. As a PhD
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); integrating theories and methods from educational science, communication science social psychology and pedagogics; using advanced statistical methods to process and analyse data; design and investigate
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modeling and statistical machine learning. We put equal emphasis on developing universally adaptive theories and sensory-specific methods. Through system-level developments, the theoretic-based contributions
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reaching their full potential. In our research team, you proceed with a theory-guided design of dashboards in combination with a student-centered co-design and a thorough statistical evaluation in field
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-throughput sequencing data and affinity with statistics/machine learning will be a plus; The ability to work independently, and thrive in a multi-disciplinary academic environment and communicate fluently in
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preferred. In addition you meet the following requirements: MSc in Neuroscience or Biomedical sciences; Good communicative and collaborative skills; Experience with data analysis/statistics; Critical attitude
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group for an interview. If you get the job, we will adapt the working conditions if you need it. Apart from selecting the right candidates, we will only use the information for anonymous statistics. We
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of next generation machine learning. This will be done through interdisciplinary work that combines the mathematical and computational cultures, and the methodologies of statistics, logic, and machine
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Essential: • A master’s degree in statistics, bioinformatics, data science, or a related field. • Strong background in machine/deep learning for multimodal data fusion. • Proficiency in python