77 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at University of Lund
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The Division of Computational Chemistry involves ten research groups in all areas
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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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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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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 consists of five permanently hired experts who collectively manage fire safety, chemical safety, shell
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this field is performed in relation to the Helsingborg Safety Hub located in Lund University Campus Helsingborg. Work duties You will primarily devote yourself to your doctoral programme, which includes
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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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master’s thesis projects. Ability to secure external research funding in competitive calls. Very strong ability to work with high-performance computing (HPC) environments. The extent to which the applicant
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information about doctoral studies is available on the department’s website: https://www.iko.lu.se/en/research/doctoral-studies The recently established research environment “Radiation Safety and Society
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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