14 parallel-programming-"DIFFER"-"Mohammed-VI-Polytechnic-University" PhD positions at Leiden University
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) is looking for a: PhD Candidate on Expressivity of Imperative Programs (1.0 FTE) The semantics
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collected data. Key questions include: What is the nature and scope of femicide in the Netherlands? What are the most common patterns across different contexts? How can these patterns be theoretically and
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-world networks with different structural properties. During the PhD, the successful candidate will work on several subprojects and analyse random graph models and complex networks by probabilistic tools
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bacteria and plant. Project description We are hiring a PhD candidate to join our ERC-funded team on chronomicrobiology, a new field that bridges microbiology and chronobiology. The MicroClock program
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or computational science. This PhD project is part of the Gravitation programme GreenTE (Green Tissue Engineering), a multidisciplinary consortium of 7 Dutch universities. Together, GreenTE will unravel how plants
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. Jonathan Benichov. Key Responsibilities: Plan and conduct research with songbirds (zebra finches). Write manuscripts for publication, resulting in a thesis. Present research at local and international
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programming skills and experience with Deep Learning. In addition, you must have an understanding of or an interest in the physics of (EM) image formation. Key responsibilities Conduct original and novel
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; Solid background in Computer Science and Mathematics; Good programming skills in e.g., Python, C, C++; Experience with Cryptography; Experience with Machine Learning is a plus; Excellent written and oral
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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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(scientific) programming, and an affinity with network analysis in particular. You are able to work with very large data and have the creativity and curiosity to develop AI models for network analysis