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research and knowledge transfer Independent, creative and committed way of working Ability to think conceptually and analytically Excellent English skills Ideally, good knowledge of German Our offer: We
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representation theory. • Some experience with SageMath, polymake or other related mathematical software. • Proficiency in English, both written and spoken. Knowledge of German is not required. In addition
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; knowledge in numerical methods and simulation, particularly for partial differential equations, and basic knowledge in mathematical modeling with/and PDEs, with a focus on fluid or biomechanics, porous media
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-average results. • Good programming skills and experience in C++ and Python. • Knowledge (acquired during a Master's program / Dissertation) in numerical methods and simulation, particularly for partial
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this knowledge, develop them as minimally invasive neural devices. Specifically, we aim to develop a toolbox of nanomaterials to study and learn from, looking at e.g. how nanoelectrode size and shape affects
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smart grid). While there has been tremendous progress in formal verification of cyber-physical systems, existing approaches still require expert knowledge. The main goal of this project is to develop
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field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in
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Advanced software development and data analytics skills Hands-on mentality with first practical experience in developing innovative technology Inquisitive and passionate about research and knowledge transfer
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interdisciplinary team with energy modelers and public policy scholars Knowledge on Ukraine, its energy system or Ukrainian is a plus Experience in the financial sector or consulting is a plus Interest in nature
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requirements: • PhD diploma in related field • Excellent skills in statistical analysis • Very good knowledge of English; spoken German is a benefit • Excellent scientific and writing skills Who we are: You will