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Field
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natural science or engineering. Documented knowledge in environmental science and life cycle assessment (LCA), food science, modelling and simulation, agricultural production chains and industrial ecology
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, The Netherlands) in the lab of Dorota Durek to test an engineered protease inhibitor in an in vitro model of skin scarring. More information on the scientific project is available here: Titre: Elucidation
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collaboration. Project description Environments change constantly, but bacteria can rapidly adapt to stressful conditions. How can bacteria adapt so quickly? While most research on bacterial adaptation centers
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management using (and adapting) petroleum/CO2 storage tools for simulating flow and pressure response, as well as thermal storage. Also analyzing new and existing data and calibrating models. Duties
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conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht
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for Nuclear Research (NCBJ) is inviting applications for a position PhD student - scholarship (machine learning-driven modeling of metallic glasses) Location: Otwock - Świerk - in the outskirts of Warsaw with
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ You will be hosted in the Process Modelling, Automation and
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alternative CO2 concentration trajectories will result in altered ecosystem dynamics and resilience. O3: Evaluate the ecosystem resilience simulated by a vegetation demography model with emerging signals
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, validate, and refine high-fidelity 3D models of blood flow and vessel geometry using industry-standard CFD software. Analyze simulation results to provide actionable recommendations for design improvements
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interventions for newborn piglets. The candidate should preferably have a veterinary background or research experience in animal models of neonatology. The successful candidate will be affiliated to the research