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intervention and implementation research in the field of diet, physical activity, family support and obesity prevention for children between 6-12 years old. The project aims to link two evidence-based
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researcher to work with Dr. David Marlevi and co-workers on the use of machine learning and physics-informed analysis for improved hemodynamic risk prediction using four-dimensional flow magnetic resonance
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assistant will collect tissue, process it for immunohistochemistry, and quantify cells traced from the periphery with semi-automated approaches. The project also includes metabolic phenotyping, bulk
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time, paid out on a six months basis. In exceptional cases, shorter periods may be acceptable. Application process An application must contain the following documents in English or Swedish: A complete
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research with clinical potential. Our lab is in the intersection of biology, chemistry, physics and engineering, aiming to reveal the molecular codes of cellular physiology and diseases. The candidate will
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cells. The models encompass metabolism, signaling, and gene regulation and are constrained to align with physical interactions between biomolecules. We train the models on high-throughput datasets
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metabolism, signaling, and gene regulation and are constrained to align with physical interactions between biomolecules. We train the models on high-throughput datasets, including metabolomics, proteomics, and
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diseases and the natural ageing process. As a research assistant, you will work alongside other lab members to support the successful completion of their projects. The possibility to develop and run your own
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The amount is tax free and it is set for twelve months at a time, paid out on a six months basis. In exceptional cases, shorter periods may be acceptable. Application process An application must contain
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interdisciplinary research and breakthrough discoveries. You will have access to two PI:s that you can meet and interact with to facilitate the research process and increase research synergy. As part of KIRI, you