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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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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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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
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on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description The doctoral student will work on the project ‘Heating, transport, and participation in life: Towards
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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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Description of the workplace Automatic Control is an exciting and broad subject, covering both advanced mathematics and hands-on engineering. Historically, it has been instrumental in many areas