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datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning). The goals are to develop new computational methods that allow the scientific inference
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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. Your role The topic of the PhD will be related to research carried out in our group, focusing
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. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
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referee A brief (around 500 W) sketch for a potential PhD project (research question, a short literature review, an overview over the methods and data that you aim to use), related to the design and topics
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expertise to study chemical biology of ion channels. We tackle questions in the field of ion channels with innovative structural, chemical methods, interconnecting chemistry, pharmacology, and medicine and
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PhD Student (gn*) Biology, Biochemistry, Biomedicine, Experimental Medicine, Medicine Job Id: 10580 Fixed-term of three years | Part-time with 65% (25 hours/week) | Salary according to TV-L E13
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inclusive research groups. Your role The UBIX Research Group is searching a PhD candidate to work on data-driven sustainable energy systems. The successful candidate will join the UBIX Research Group, led by
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Master's degree in Energy Policy, Energy Economics, Information Systems, Mathematics, Operations Research or a related field Strong knowledge of quantitative and/or computational research methods, ideally in
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Systems, Economics, Mathematics, Operations Research, Computer Science, or a related field Strong knowledge of quantitative and/or computational research methods, ideally in optimization and simulation
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Research or a related field Strong knowledge of quantitative and/or computational research methods, ideally in numerical optimization and simulation models. Proficiency in one of the major programming