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analysis, Python programming, and deep learning frameworks (e.g., TensorFlow, PyTorch) is expected. Prior work in cancer research or medical imaging is an asset. The successful candidate will join an
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A Postdoctoral Scholarship is available in the laboratory of Prof. Lena Gunhaga at Medical and Translational Biology , Umeå University, Sweden. We are seeking a highly motivated applicant for a
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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the Biological Sciences. Interdisciplinary skills and approaches in Genomics, Advanced Imaging, Biochemistry, Bioinformatics, Cell Biology, Mouse models, and Research Translation are desired. This is an ongoing
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to define how RecQ helicases maintain genome stability to limit premature aging and cancer development. These projects will benefit from access to cutting-edge mass spectrometry, imaging, screening and
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translation in mind. Our partners are the Medical University of Vienna, the St. Anna Children’s Cancer Research Institute (CCRI) and AITHYRA, the newly founded Research Institute for Biomedical AI
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intelligence methods for data analysis, including image data processing present results through reports and presentations to scientific and clinical audiences perform heterogeneous data analysis in the context
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Do you want to contribute to top quality medical research? The Department of Medicine, Solna, is one of the largest departments at Karolinska Institutet. The department consists of several units
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balance. Lead data analysis efforts, applying advanced signal processing and statistical techniques to extract meaningful insights from electrophysiological and imaging data. Collaborate with
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nanotechnology to one of the most pressing medical challenges - this is your place. About the research group You will join the Biomimetics, Biocarriers and Bioimplants group (The 3Bs), led by Associate Professor