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should be a person with strong leadership, organizational and interpersonal skills who sees strategically the overall picture. You enjoy working as part of a team but also independently. As a person, you
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work will increasingly focus on wet lab experiments using cancer cell lines, organoids, and animal models, including imaging and molecular analysis. The project is well-suited for candidates with a
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environments, safety monitoring for autonomous systems, and code review analysis driven by eye tracking. The division has strong collaborations both locally within Lund University, internationally with other
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Spatial metaTranscriptomics methods and thus also handling of image data. The PhD student will interact with other team members to a large extent. For this purpose, we are looking for a PhD student with
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are particularly interested in the neuropsychiatric symptom picture in Parkinson's disease and in developing better treatment. We have a specific interest in the anatomical-functional association within the STN, and
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central role in streamlining and standardizing the design flow for quantum device fabrication. This includes implementing and improving design rule checks (DRC), optimizing and debugging code, and
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is now seeking a professor in pharmacology with a preclinical focus. The department has access to a wide range of methods, including advanced fluorescence microscopy (from single-molecule imaging
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to assess and ensure the safe, predictable, and transparent behavior of systems incorporating machine learning and generative models. Design and prototype frameworks or tools that support systematic V&V
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fluorescence microscopy (from single-molecule imaging to intravital microscopy), electrophysiology, respirometry, microfluidics, organoid cultures, bioprinting, and excellent opportunities to work with various
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radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The group boasts extensive experience in fundamental research within computer vision, machine learning and