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Zygmunt (at Lund University) and Sara Liin (at Linköping University). Below is a selection of articles published by the groups over the past three years (see also rb.gy/j6ajo): Li et al (2025) Nature
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two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
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“Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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software architecture and signal processing. You will work closely with our international team of collaborators to ensure the system meets the rigorous requirements for clinical skin sample analysis. Your
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related field. Proficiency in one or more of the following: in vivo electrophysiology, two-photon imaging, animal surgery, behavioral design, programming languages (Python/MATLAB), and data analysis
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
knowledge of AI processing methods and dataset requirements Relevant publication record and experience presenting scientific results at international level Ability and willingness to publish research results
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 29-Jun-25 Location: St. Louis, Missouri Type: Full-time Categories: Academic/Faculty Medical - Research Internal
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Researcher to join the ERC-funded MAGNIFY project, led by Dr. Victoria Antoci. This project explores the effects of magnetic fields on stellar structure and mixing processes within stars. It focuses
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activities. Qualifications: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, or a related field. Strong background in machine learning, particularly deep learning and natural language