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of policy measures using quantitative methods. The selected candidate is expected to build and lead an active interaction with decision-makers in urban policies and representatives of other stakeholders, and
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in a relevant field Strong statistical background with either R or Python, with the ability to work in both worlds. Experience with databases (SQL) We work with Linux in large secure computing
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drylands, and other pressing environmental issues. You will gain experience in working at unique research sites in iconic East-African savanna landscapes and learn about the state-of-the-art methods in
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to the development of reproducible analysis workflows and pipelines. You have a PhD in bioinformatics, computational biology, data science, computer science, genetics or other relevant field. You have successfully
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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methods for contact, blended and online teaching, using a research-based orientation and in collaboration with colleagues. In addition, the post may involve developing and offering other types of language
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, calibration, and the development of analysis tools and software. Our key focus areas are the physics of jets, top quarks, and EWSB, including the development of novel machine-learning methods for high-energy
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methods. The appointee must have an interest in working in a multicultural and multilingual environment and in interdisciplinary teams, as well as collaborating with stakeholders from the private, public
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
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applications. Addressing food and nutritional security requires novel ways of producing sustainable, safe, affordable, healthy and flavourful food. Europe alone faces numerous challenges related to the rise in