964 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions in Sweden
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Field
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SciLifeLab community both locally in Uppsala and in Sweden at large. For information about the SciLifeLab fellow program, see https://www.scilifelab.se/research/#fellows . SciLifeLab Fellows are also part of a
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engineering for brain–computer interfaces. About us The group led by Giacomo Valle is part of the Division of Biomedical signals and systems at the Department of Electrical Engineering at Chalmers University
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at the intersection of neuroscience, biomedical engineering, and clinical research. The team includes engineers, neuroscientists, and data scientists collaborating closely to develop next-generation neuroprosthetic
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Computer at Chalmers (QC2) group which is part of Wallenberg Centre for Quantum Technology (WACQT), a long-term initiative aimed at advancing Swedish quantum technology. You will be part of large team
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molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research
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Troubleshoot experimental procedures and improve robustness and reproducibility Document experiments and manage data in a structured and reproducible manner Collaborate with experimental and computational team
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courses in the Division of Logistics and Quality Management starting autumn semester of 2026 until the end of spring semester 2027. Work as a teaching assistant will include teaching, tutoring in computer
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15 Apr 2026 Job Information Organisation/Company Linnéuniversitetet Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Application Deadline 6 May 2026 - 12:00 (UTC
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perspectives are best attained and reached together in collaboration with others – our colleagues, students, the private and public sectors, both nationally and internationally. Employment information Employment
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for the training of ML models Cyber-Physical System (CPS) with focus on distributed coordination, state synchronization, and safety-critical operation Industrial data ecosystems with focus on scalable data