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programme Reference Number 304--1-13687 Is the Job related to staff position within a Research Infrastructure? No Offer Description We offer a PhD position to visualise simulation results by combining virtual
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, the random dropout of participating agents, and uneven distribution of data across agents. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part
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on agentic approaches, where an LLM interacts with visual tools, which may themselves be neural networks. Central challenges include enabling LLMs to reason about visual structures, designing
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collectively manage all aspects of safety work with ionising radiation at the MAX IV Laboratory. One of the current team members focuses on radiation safety simulations for shielding design and risk analysis
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. These positions involve advanced numerical simulations and analysis of spacecraft data. The positions are full-time, 100% funded for four years and lead to a doctoral degree in Computational Physics. The expected
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. We carry out research in the areas of electronic systems, machine learning and cyber-physical systems. The Electronics Systems group focuses on electrodynamic simulation and modeling. The research and
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Networks. The project encompasses several challenges in the gene regulatory network (GRN) field, from simulating realistic networks and data to accurate inference of GRNs from noisy gene expression data
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– degrees and other completed courses, work experience and a list of publications Copy of PhD diploma. We look forward to receiving your application!
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assessment methodologies, modelling and simulation, as well as knowledge and experience from the Swedish food system, are seen as valuable merits. Great emphasis is placed on personal qualities, such as the
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science. Applicants with one or more of the following skills/qualities will be considered with priority: experience and/or thorough understanding of theoretical/numerical methods for simulating optical