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The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our
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, and other centres as needed for the project. It may also require participation in national and international conferences. Description of the AMBER project context This post-doctoral position is part of
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post-doctoral training and education in one or more relevant research areas which range from the life sciences to mathematics or computer science. In addition, competence and commitment in training young
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programme you will be extraordinarily well equipped to further your career in academia, at infrastructures, in the health and MedTech sectors, and beyond. For more information about the total announced post
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research development. Description of the AMBER project context This post-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research
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The Camunas-Soler lab is opening scholarships for two Postdoctoral Research Fellows to join our interdisciplinary research team (www.camunaslab.org ). These positions are part of a broader program
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investigation. Being part of a larger collaborative project, the postdoctoral researcher will be involved into discussions within a broad range of fields including computational, medicinal and organic chemistry
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University of Copenhagen). References: Mets et al. Cell Host Microbe 2024 Ernits et al. 2023 Zhang et al. Nature 2022 Kurata et al. Mol. Cell 2021 Description of the AMBER project context This post-doctoral
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to the research (max one page) CV including full list of publications, Copy of doctoral thesis, A copy of doctoral degree certificate or documentation that clarifies when the degree of doctor is
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, the Knowledge Foundation (KK-stiftelsen) and industry partners have decided to support Mission 0 House with an additional program, with a budget of nearly 100 million SEK over a five-year period, starting in Q1