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chemical reaction networks with robotic systems and analytical science. You will also learn how to programme robotic systems and how to implement aspects of deep learning and neural networks for reservoir
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Code 9519 Employee Class Grad/Prof Student Position Add to My Favorite Jobs Email this Job About the Job This person will act as a teaching assistant in the course NSC 5661 Systems Neuroscience. This job
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Code 9519 Employee Class Grad/Prof Student Position Add to My Favorite Jobs Email this Job About the Job This person will act as a teaching assistant on the course NSC 5461 Cellular and Molecular
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The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and networking. The research areas focus on the formulation, modeling, design, and
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Successful candidate will join the Integrative Cell Signalling Group (https://www.uni.lu/lcsb-en/research-groups/integrative-cell-signalling/ ), led by Prof. Alexander Skupin, which focuses
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-driven approaches to health, society, and policy. BISI combines expertise in epidemiology, biostatistics, health economics, and machine learning to tackle complex societal challenges. BISI is actively
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information Feel free to contact us if you want to learn more about the vacancy: Dr. Sascha van Schendel (co-supervisor) – s.vanschendel@law.eur.nl Prof. dr. mr. Pim Jansen (supervisor) - jansen@law.eur.nl
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(Associate Professor) Ashraf Uz Zaman (zaman@chalmers.se) and Prof. Jian Yang (jian.yang@chalmers.se) Who we are looking for Applicants should have, or expect to receive, a Master of Science degree
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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and be able to work as part of a team to achieve ambitious goals Teach and co-supervise BSc and MSc student projects Potentially participate in Arctic field campaigns We expect that you have: Experience