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resolved (polarized, low-temperature) absorption and photoluminescence spectroscopy, and a good knowledge in the use of density functional theory calculations of these materials. Job description We
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LevelPhD or equivalent Skills/Qualifications - Excellent knowledge in architecture of quantized and pruned neural networks - Solid programming skills, languages C / C++ / Python - Solid knowledge in
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 11 days ago
burden of vestibular disorders. The network trains ten doctoral candidates who conduct interdisciplinary research projects to develop new knowledge, tools, and approaches to improve diagnosis and treatment
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in modelling, simulation, or data analysis of energy systems Knowledge of machine learning or artificial intelligence methods Programming experience (e.g., Python, MATLAB or similar tools) Experience
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. Your work will generate knowledge and practical solutions that support public and private stakeholders in improving animal health, strengthening disease prevention, and advancing sustainable livestock
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with more than 10 years of experience and a demonstrated record of mentoring graduate and medical students. International experience is also desirable. Knowledge/Skills/Abilities Expertise in
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(knowledge of energy systems is a plus). The ideal candidate for the position has skills in electrical grid modelling (OpenDSS, Pandapower, MATPOWER, etc.), programming skills (Python, Julia, Matlab), as
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challenges of our era. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence
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for its pioneering, demand-led approach to evidence use, and knowledge mobilisation. The Centre is pleased to invite applications for our popular Research Apprenticeship scheme which runs on an annual basis
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engineering, or another related field Strong knowledge of Machine Learning theory and methods, and related Deep Learning approaches Excellent knowledge of programming in Python and scientific libraries used