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, there may be groups of different parameters producing the same output as the true system parameters, making it almost impossible to uniquely recover the actual ones. AI:Wind-Lab aims to develop a set of
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experience in basic data management and analysis, population health principles, and literature reviews. The role offers opportunities to develop skills in data curation, study design, project management, and
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computational challenges. This PhD project will investigate novel registration strategies for ultrasound-derived musculoskeletal point clouds. The work will focus on developing geometry-aware alignment methods
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available in the further tabs (e.g. “Application requirements”). Programme Description The Ernst Ludwig Ehrlich Studienwerk (ELES) is one of the foundations for the development of talent which are supported
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digital twins with quantified uncertainty. This project will develop a measurement-science-driven digital twin framework for energy assets, initially demonstrated on PV modules/fields and battery systems
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(Learning, Educational Achievement, and Life Course Development) to design and conduct studies. What We Expect from You We are looking for a candidate with a strong academic background and a keen interest in
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conservation issues and contribute to developing viable and sustainable solutions in this field. Target Group highly qualified junior researchers carrying out doctoral theses which clearly address relevant
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Airbus’ ZEROe concepts. However, liquid hydrogen fuel systems remain largely unstudied and critical fundamental research and modelling capability needs to be developed to strengthen the necessary
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Job Offer from March 18, 2026 The Max Planck Institute for the Study of Societies (MPIfG) conducts basic research on the governance of modern societies. It aims to develop an empirically based
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under uncertainty”. This position is part of the ERC-funded DECIDE project lead by Professor David Pisinger. You will be responsible for developing new methods for decision support in stochastic