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cells in the bone marrow. IKOM is the faculty´s largest department with around 450 employees. IKOM is physically integrated with St. Olav’s University Hospital, providing unique opportunities for close
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alveolar epithelial cells. The project will aim to identify and study the lipids transported and the proteins involved in this pathway, and to decipher their functional implications in surfactant lipid
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Science is part of the Faculty of Health and Life Sciences. The research activities within this multidisciplinary department include the areas of aquatic ecology, cell and organism biology, evolutionary
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is searching for a Control Engineer for developing health-aware model predictive control (MPC) for fuel cell hybrid electric vehicles (FCHEVs). Fuel Cell HEVs provide a long-term solution to
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Dipartimento di Scienze Biomediche Sperimentali e Cliniche "Mario Serio" - Università degli Studi di Firenze | Italy | 20 days ago
• Stem cell analysis in cancer • 2D and 2D complex in vitro cell and organoid cultures • Spatial and Liquid biopsy processing and analysis • Cell engineering • Bioinformatics and data analysis Where
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treatment, with primary applications in cancer research. The group has a strong, well-documented record of interdisciplinary collaboration, working closely with cell and molecular biologists, geneticists
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or fully kinetic simulations, and/or particle-in-cell (PIC) simulations; 2. A research background in light-nucleus fusion in nuclear physics, such as studies related to deuterium–tritium fusion reactions; 3
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bachelor and master education and relevant certificates. Diplomas from outside the EU/EEA must submit approval of their master’s degree, https://hkdir.no/en/foreign-education . Copy of the applicant’s
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Skills (30%) a. Model-Driven Optimization: Use simulation and digital twin outputs to analyze process parameters, predict cell behavior, and guide the design of optimized cell culture protocols and next
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the optical tweezers Use and further develop simulation tools to design and benchmark control strategies before deploying them on the microscope Integrate your software with the microfluidic live-cell imaging