86 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" positions at University of Lund in Sweden
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duties You will primarily devote yourself to your doctoral programme, which includes participation in research projects as well as third-cycle courses, seminars and conferences. The work duties include
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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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to your doctoral programme, which includes participation in research projects as well as third cycle courses, seminars and conferences. The main duties of doctoral students are to devote themselves
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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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programme, which includes participation in research projects as well as third cycle courses, seminars and conferences. The project has an action-oriented and interdisciplinary approach and is being carried
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Location: MAX IV Laboratory, Lund, Sweden Work plan: Week 24-25: Lab work – prepare reference samples & organize in the Balder lab Week 25: Prepare for beamtime on Sunday, June 21, to measure the reference
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Geography and Ecosystem Science or comparable programme Additional requirements: Very good oral and written proficiency in English. Good knowledge of a higher programming language Assessment criteria
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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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Program – and will be part of its national PhD school. Work duties You will primarily devote yourself to your doctoral programme, which includes participation in research projects as well as third cycle
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department