53 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at University of Lund in Sweden
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equality and diversity as a strength and an asset. Your team The survey, alignment, and mechanical stability (SAM) team is part of Engineering I group, responsible for providing the support for
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microchannels. The research is closely linked to the research at the medical faculty within both biomedical and clinical research, with the goal to develop new technology to sort, manipulate and analyse cells and
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lightsources in the world? MAX IV is looking for a RF Engineer who will take an active roll in MAX IV RF systems operational, maintenance tasks and R&D for these systems. Even though already functional, these RF
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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 The doctoral student will be employed at the Department of Computer Science, where research on engineering of large-scale software-intensive systems is conducted in
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signal measurement and triggering, detector knowledge, motion technology (stepper motors and nano positioning), optics and lasers, building, commissioning, and supporting instruments. In addition, share
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from academia and industry. The LNL team includes 11 highly qualified scientists, engineers and technicians, including a number of Ph.D’s, who are focused on keeping the facility running, equipment
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Your team The vacuum team is responsible for providing support in vacuum technology to MAX IV accelerators and beamlines. The duties of the vacuum team include: design, simulations, procurement
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components Qualifications Basic understanding of physics, electronics and electrical equipment Computer skills in excel and/or Matlab Fluent in written and spoken English Ability to take initiative, be
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experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data analysis within the MAX IV edge-cloud