77 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Lund in Sweden
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Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
photonicsmay be taken into account. Additional requirements In order to complete the doctoral programme in question, the following are also required: good ability to work independently and to formulate and
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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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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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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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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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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
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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
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position. Your main work tasks will be Plan and execute industrial beamtime at the CoSAXS beamline, supporting users throughout the entire process — from experimental setup and data collection to analysis
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targets. More information about the group's research is available at https://pietraslab.com/ and https://bsky.app/profile/pietraslab.bsky.social . As a workplace, we prioritize a positive working