1,930 data-"https:" "https:" "https:" "https:" "https:" "Linköping University" positions in Germany
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-informed / simulation-aware modeling Efficient algorithms for design-space exploration (e.g., surrogate modeling, Bayesian optimization, differentiable programming) Hybrid approaches combining data-driven
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or for an MSc or PhD (or equivalent) in medical engineering, applied medical sciences, public health, or data science in medicine. It funds students from Germany who wish to carry out research stays, internships
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- Ability to work well in a team, along with strong social and communication skills - Excellent command of English, both written and spoken For further information, please contact Silke Benndorf (030-83864398
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, both written and spoken For further information, please contact Silke Benndorf (03083864398). Applications should be sent by e-mail, together with significant documents, indicating the reference code, in
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module). Preferences: - comprehensive knowledge of North American cultural studies - strong research skills and knowledge of academic libraries and academic data bases - Willingness to get acquainted with
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independently conducting academic research projects • Ability to work effectively in a team For further information, please contact Prof. Dr. Florian Zemmin (islamwissenschaft@geschkult.fu-berlin.de
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that implements pore-scale results into Darcy-scale models Validate the models using literature data Publish high-quality articles in peer-reviewed journals in the field Present research outcomes at national and
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for light-induced dynamical processes, THz pulse emission, ultrafast spectroscopy and theory for current-induced spin dynamics. The research tasks include the development of theoretical models and computer
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metabolic research is desirable, Experience using flow cytometric approaches (FACS) and/or animal experiments would be beneficial but is not required, Experience in evaluating ‘Omics’ data sets, especially
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DIPF | Leibniz Institute for Research and Information in Education contributes to addressing challenges in education through empirical research, digital infrastructure and knowledge transfer. At its