79 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "St" positions at University of Lund in Sweden
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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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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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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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Your team The General Safety Team is one of three teams in the Safety Group. The team currently consists of five permanently hired experts who collectively manage fire safety, chemical safety, shell
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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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Your team The General Safety Team is one of three teams in the Safety Group. The team consists of five permanently hired experts who collectively manage fire safety, chemical safety, shell
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) Experienced with independent chemical lab work and well acquainted with safety procedures and safety data sheets. Bonus points if you have: Experience with X-ray Absorption Spectroscopy (XANES & EXAFS) A
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, Raspberry Pi, Python, C/C++) Interest in microscopy, surface science, vacuum systems, optics, or beamline instrumentation is a plus Safety-minded and conscientious with experimental procedures. What you get A
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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
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department