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modelling. As a formal qualification, you must hold a PhD degree (or equivalent). Flexibility is essential. We are looking for a team player who can also work independently, who is motivated to help make, and
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to the comprehensive analysis of field samples and the mathematical modeling of cellular interactions. LPHI includes four teams working on parasite models (Toxoplasma and Plasmodium), thus offering a stimulating working
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Job Description Are you worried about the coastal regions in an era of climate change and plastic pollution? Do you want to play a part in the development of a novel numerical model that can shed
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their own research skills in ocean modeling, data analysis, and scientific communication. Contribute to identifying new research opportunities and potential collaborations, helping to expand the research
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, such as spatial modeling and analysis, transport and port environments, health and risks, Information and Communication Technologies (ICT), and socio-territorial restructuring. Its identity is associated
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Qualifications / Experience: • A PhD in Physics, Geoscience or a related field • Proven expertise in numerical modelling using super computing clusters • Excellent knowledge of atmospheric physics • Proficiency in
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start) PhD awarded by the time of appointment. Preferred qualifications • Expertise in physical oceanography and/or environmental fluid mechanics. • Expertise in ocean circulation modeling. • Ability
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | 2 months ago
and benchmark of Biot-Savart, force, and quench protection models Inclusion of constraints related to coil curvature and strain from bending and torsion Application to sensitivity studies
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should have a PhD (or close to completion) in Physics, Planetary Sciences or Earth Sciences. It will be an advantage to have experience in remote sensing, analysis of thermal data, thermal modelling
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CRISPR/Cas9, cloning, protein biochemistry, as well as work with cell cultures and primary patient samples (S1/S2) Conducting and establishing experiments with in vivo mouse models Analysis and