61 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " uni jobs at University of Lund in Sweden
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are united in our efforts to understand, explain and improve our world and the human condition. Your team The survey, alignment, and mechanical stability (SAM) team is part of Engineering I group, responsible
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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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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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/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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specialised instruments for characterization and metrology. The lab has over 140 active users from academia and industry. The LNL team includes 11 highly qualified scientists, engineers and technicians
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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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Master’s level background in Chemistry, Chemical Engineering, or a related field As a person you are organised, detail oriented, and methodical in your work. Practical details: Duration: 4 weeks, June–July
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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
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integration into SasView. Required qualifications Ongoing university studies in physics, applied mathematics, computer science, engineering, or a related field Programming experience in Python Good