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Description of the AMBER project This post-doctoral position is part of AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, which will address scientific and sectoral gaps in
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the subject field in question. It is also important that the applicant has experience from a postdoctoral visit in a research environment other than the university at which the applicant defended their doctoral
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and diversity are substantial foundations in all our activities. We work actively to be a parent-friendly organization. We are looking for a postdoctoral researcher in probability theory to work in the
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specialist qualification. The clinic is equipped with a QHorse, a Qualisys system for objective lameness assessment. At the University hospital we have a diagnostic imaging clinic, equipped with large animal
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trials with prototype vehicles and human drivers. The position will include some travel to project partners and test tracks. Who we are looking for: To qualify as a PhD student, you must have a Master's
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of Technology to pioneer the next generation of biorefineries using marine and terrestrial biomass. This postdoctoral position offers the opportunity to develop innovative green processes for transforming
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of scientific data, e.g. from image acquisition modalities or scientific simulations. Efficient algorithms are at the core of most of these data analysis and visualization applications. The focus of this Ph.D
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Experience of support and teaching within bioinformatics Postdoctoral experience Strong skills in experimental design and software development “Reproducible research” and “FAIR data” are central concepts to us
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love to create engaging content. This means you should have content creating skills, such as writing, photography, graphics and filmmaking and experience of communication in social media (image, film and
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Skłodowska-Curie Actions (MSCA) Cofund postdoctoral program, that will train 48 future leaders in life sciences. It runs 2025-2030 with a budget of 6,88MEUR. About SciLifeLab SciLifeLab (Science for Life