54 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" "St" uni jobs at University of Lund in Sweden
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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
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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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systems, Applied AI/ML, Computer Security and Cryptography. The division runs several research projects through different large research collaboration platforms and arranges extensive workshops and seminar
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Department of Computer Science. The Graphics Group has a long history of internationally recognized research in the areas of Real-Time Rendering, Graphics Hardware and Ray Tracing. The Group has collaborations
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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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harness data collected during the entire lifecycle. In large-scale cloud-edge services, DevOps include many tools working together (e.g., build servers, code review, program analysis) to feed back
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace There is a growing research group in foundations of computer science at Lund
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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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available at https://www.lusem.lu.se/organisation/department-economics/doctoral-studies-department-economics/application-phd-programme-economics. , save it and send it to phd_recommendation@nek.lu.se
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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