14 parallel-computing-numerical-methods-"DTU" PhD positions at Leiden University in Netherlands
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate, Secure Computation Technologies and Applications to Machine Learning
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numerical methods for quantum systems is preferred. Experience with neural quantum states is a bonus. Good programming skills in Python. Familiarity with JAX is a bonus. Proficient in spoken and written
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their applications to problems in natural sciences (physics, chemistry) and practical computing (machine learning, AI, optimization), and methods to make them compatible with near-term quantum devices
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development and regeneration (1.0 FTE) Description of the project The opening is for a research position within the field of mathematical or theoretical biology, computational physics, applied mathematics
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate in AI for Network Analysis (1.0 FTE, 4 years) About this position
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field; Affinity with formal methods, including an understanding of basic of automata theory, formal languages, algorithms, and computability --- i.e., foundational computer science theory. Candidates with
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-of-the art electrophysiological and behavioral recording methods as birds freely engage in dynamic vocal interactions. This neuroethological approach will reveal how complex streams of acoustic input
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-method approach, combining quantitative and qualitative research techniques. It will draw upon the Dutch Femicide Monitor, including data from law enforcement, public prosecutor, courts and the media
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the electrochemical active site and impact on transmembrane proton translocation. The project aims to develop new methods and devices routed on the chemistry of 2D materials and the functionalization of graphene
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded