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Optimization and Machine Learning for Hydrogen Technologies The Natural Computing Group (NACO) at LIACS, Leiden University, is seeking a highly motivated researcher to join our cutting-edge project on AI tool
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) are looking for a: PhD Candidate on Multi-Objective Optimization and Machine Learning for Hydrogen Technologies The Natural Computing Group (NACO) at LIACS, Leiden University, is seeking a highly motivated
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that serve as a break on activation. It is possible to intervene with these receptors: blocking these receptors (thus removing the breaks) led to clinical improvement in the treatment of e.g. melanoma. Vise
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. The applicant is expected to have: A MSc or equivalent degree in Computer Science, Mathematics, Computer Engineering, Electrical Engineering, or a similar field; Expertise through your field of study in
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faces. At the same time, reinforcement learning is a key technology in artificial intelligence and machine learning that set various state-of-the-art results. In the Reinforcement Learning Lab
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technology is crucial for many aspects of human life and accounts for ~15% of the world’s energy consumption. While the particle flow through separation columns is directional at the atomistic scale
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the availability to conduct long-running laboratory experiments (the calculus model requires at minimum 28 consecutive days of growth when you will need to ‘feed’ it daily); Excellent command of English
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The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our
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of Leiden University. We offer courses at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According
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experience with in vivo studies (artikel 9, proefdierkunde), flow cytometry, single cell technology (working in R), microscopical techniques and molecular biology is an advantage With proficiency in English