50 engineering-computation-"https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Lund
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are united in our efforts to understand, explain and improve our world and the human condition. The Department of Process and Life Science Engineering (PLE) covers a wide range of industrially relevant
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biology platform https://www.scilifelab.se/units/structural-proteomics/ The unit provides access to cutting-edge equipment and expertise, for the analysis of protein interactions and conformational dynamics
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Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
of Engineering, Science, and Medicine. It also operates Lund Nano Lab, a state-of-the-art cleanroom for the synthesis, processing, and characterization of semiconductor nanostructures. Being a doctoral student As a
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an umbrella organization and builds on four pillars: Qualitative methods; Experimental methods; Computational Social Science, as well as Skill School (https://www.sam.lu.se/en/research/lund-social
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-security and software engineering. The research focuses on automated principles for analysing program code. This includes how AI models can be used to analyze and correct software to ensure that it does not
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(M.Sc. level courses) that are relevant for this topic, or M.Sc. degree within Computer Science, Electrical Engineering, Information and communication Technology, Engineering Physics or Engineering
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protection and security, work environment safety and environmental safety at the MAX IV Laboratory. The team is now looking to employ an expert within machine safety. As the sole machine safety engineer, you
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computer science if the applicant has: at least 60 second-cycle credits at an advanced level with relevance for the research topic, or an MSc in Engineering in Computer Science and Engineering, Electrical
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and Information Technology at Lund University, the Faculty of Engineering, LTH, works broadly with research within Cryptography, Computer Security, Wireless and Fixed Networks. The security group has
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Sciences, Mathematics, Computer Science, or Engineering, or demonstrably equivalent qualifications and experience Minimum three years’ experience in a data intensive discipline demonstrating a proven role in