56 professor-computer "https:" "https:" "https:" "https:" "https:" "Dr" uni jobs at University of Lund
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bachelor's and master's programs for both Swedish and international students. Read more at https://www.biology.lu.se/ . Find more reasons why Lund University and the Faculty of Science are right for you here
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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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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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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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the genomic landscape of breast cancer using large scale tumor sequencing data. You can read more about the project on our website https://portal.research.lu.se/sv/persons/staaf-johan/. The research team is
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Associate Professor Alexander Pietras. The group consists of a bioinformatician, two postdocs, two PhD students, and two research engineers. We are part of the Lund University Cancer Centre at Medicon Village
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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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integration into SasView. Required qualifications Ongoing university studies in physics, applied mathematics, computer science, engineering, or a related field Programming experience in Python Good