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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 experiments. We will
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degree in health sciences, public health, epidemiology or similar; Experience with doing epidemiological analyses and publishing scientific articles; Skills in advanced quantitative statistical methods
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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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Delft View on Google Maps Delft University of Technology (TU Delft) Requirements You hold a MSc degree in bioinformatics, computer sciences, statistics, life sciences or a similar area. You possess a
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biology/genomics with: Proven affinity for cancer and/or immunology research; Experience with genomic analysis from high-throughput sequencing data and affinity with statistics/machine learning will be a
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following requirements: MSc in Neuroscience or Biomedical sciences; Good communicative and collaborative skills; Experience with data analysis/statistics; Critical attitude towards own and other's work; A
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. Good statistical background and knowledge of probability theory Programming in Java or C/C++ English language proficiency, demonstrated by tests (IELTS/TOEFL) Ability to read scientific papers Ability
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in dynamical systems, topology, geometry and algebra, as well as in stochastic (statistics, data analytics, probability). Faculty of Science Researchers and students at VU Amsterdam’s Faculty
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data; analysing this data critically, using advanced statistical techniques and with deep knowledge of the biological context.; collaborate with relevant stakeholders (in particular Rijkswaterstaat and
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statistics & probability, linear algebra, calculus, optimization, and Markov decision processes. You have knowledge of financial engineering concepts such as credit risk assessment and mitigation, probability