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PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical
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relation to the use of syntactic structures in coordination with various bodily resources, such as gaze, facial expression, object use, movement in space, etc. Your tasks will involve collecting and
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and solids. Experience in scientific programming in C/C++, Python, Fortran, Mathematica or similar is required. The successful candidate will either hold a PhD in Physics or a related area, or
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
later: company pension scheme Clever to work: Possibility of an interest-free loan to buy an e-bike Tailor-made education: Subsidized further education and training Systematic start: Structured induction
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-structured interviews on e.g. best practices of co-creation in agroecology living labs Identification of and engaging with experts, stakeholders and actors on agroecology in Europe Organizing workshops with
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theoretical and practical experience with machine learning methods, especially for training of machine learning potentials - development and utilization of ab initio electronic-structure methodology - previous
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interdisciplinary project seeks to develop new approaches to resilient and sustainable urban development, in cooperation with Karlsruhe Institute of Technology (KIT) and RWTH Aachen. For the subproject based
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interpretation of OMICs datasets (DNA, RNA, proteome) Supervision and technical guidance of Bachelor’s, Master’s, and PhD students, as well as technical staff within the project context Participation in teaching
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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
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) activities, in close collaboration with the JPI Oceans Knowledge Hub on Changing Marine Lightscapes. Your work will provide a structured framework to assess the effects of changes in the quality