79 computer "https:" "https:" "https:" "https:" "UNIV" positions at University of Lund in Sweden
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Department of Computer Science. The Graphics Group has a long history of internationally recognized research in the areas of Real-Time Rendering, Graphics Hardware and Ray Tracing. The Group has collaborations
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Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
analysis. You will work on developing and exploring the synthesis, processing, properties, and performance of nanowire-based devices for nanophotonic based neuromorphic computing and optical sensing. Your
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace There is a growing research group in foundations of computer science at Lund
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an emphasis on maintaining physical consistency, numerical stability, and real-time data assimilation within reduced-order models. Primary application areas include computational physics and climate modeling
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links between dynamics, catalysis and function in protein tyrosine phosphatases, using the tools of computational biophysics. Our research group is highly interdisciplinary, using everything from quantum
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace As a doctoral student you will be employed at the Department of Computer Science in
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace Within the Centre for Analysis and Synthesis (https://www.cas.lu.se
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upgrades / replacements of key RF components Qualifications Basic understanding of physics, electronics and electrical equipment Computer skills in excel and/or Matlab Fluent in written and spoken English
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/technology High school-level computer knowledge and technical interest. Experience and knowledge below are seen as merits: Experience with electronic hardware and understanding safety-compliance rules
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Scientist to improve the data analysis experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data