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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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interdisciplinary team of engineers, computer scientists, and life scientists Present your work at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and
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, train and test novel machine-learning-based solutions on top-tier super-computing hardware Work in an interdisciplinary team of engineers, computer scientists, and life scientists Regularly participate in
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, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related
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studies with above-average performance in the fields of biotechnology, bioprocess engineering, life sciences or related fields Strong hands-on experience in microbiological and biotechnological
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candidate will be considered for integration into the Graduate School “Engineering Covalent Bonds in Molecules and Materials” Ec=m2 (RTG 3082; https://www.uni-saarland.de/forschen/ecm2.html ). For further
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requirements, see below): Jordan University of Science and Technology, Irbid (JUST) M.Sc. Computer Engineering* M.Sc. Network Engineering and Security* M.Sc. Radiologic Technology** M.Sc. Medical Laboratory
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are researching this and similar questions. Our goal is to systematically optimise the interaction between people, organisations and technology. With us, your theory also passes the practical test. Bring your
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. Infectious Diseases Prevention and Control M.Sc. Medical Imaging Technology M.Sc. Pharmaceutical Sciences Master‘s Degree in Law M.Sc. Electronics and Computer Engineering Al-Quds Open University M.Sc
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of receiving the link) into the media database. Please upload video files (mp4, maximum resolution 1080 pixels) only. The composition subject subject as well as sound engineering, sound studies, etc