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fasting) from wearables and other sources with multi-omics biomarkers. The project involves refining deep learning approaches, such as recurrent and convolutional neural networks, to improve personalized
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involves refining deep learning approaches, such as recurrent and convolutional neural networks, to improve personalized health monitoring. Opportunities include integrating multi-omics data from iPSC
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caused by Regulation (EU) 2024/1735 (Net Zero Act) on CCS roll-out and in particular on oil and gas producers. We foresee the importance of understanding how companies develop CO2 storage projects alone
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) 2024/1735 (Net Zero Act) on CCS roll-out and in particular on oil and gas producers. We foresee the importance of understanding how companies develop CO2 storage projects alone or in cooperation with
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be proficient in both written and oral English. Experience in isolation and characterization of natural products from marine biomass is an advantage. Experience with MS/MS and ‘molecular networks’ is
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networks, to improve personalized health monitoring. Opportunities include integrating multi-omics data from iPSC-derived adrenocortical and ovarian organoids to enhance model precision. The fellow will
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with career-promoting work (e.g., teaching duties at the Department). The position is subject to financing by the University of Bergen and the candidate will join a growing network of DBER PhDs
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diseases such as dementia and Parkinson’s disease. Professor Bettina S. Husebø is the head of SEFAS. The centre has approximately 15 employees, and a large network both nationally and internationally. SEFAS
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networks, as well as problems of fundamental importance to the fields of artificial intelligence and machine learning. Qualifications and personal qualities Applicants must hold a master's degree or
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an excellent, diverse and stimulating research environment for the successful applicant. The applicant should propose a project dealing with material religion or religion of place with a focus on power, networks