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of Technology, the Netherlands. For a complete list of available positions, please visit the network’s website http://www.secresy4you.eu . Information We invite highly motivated students with a strong background
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the reference BiodivNBS/0007/2023 and DOI: https://doi.org/10.54499/BiodivNBS/0007/2023 , financed by Foundation for Science and Technology, I.P , through national funds, under the European Co-financed
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systems whose near-field radiative capabilities allow for focusing and localizing EM energy. Predictive models, based on EM simulations and extensive measurement campaigns, will also be developed
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, predictive modeling, and decision support. This role combines deep analytical expertise with business acumen to transform complex data into actionable insights that support strategic planning and financial
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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and
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Charité–Universitätsmedizin Berlin (Dr. Rosanna Sammons); for further information, see https://www.sfb1315.de/ - development of network models of the CA3 region of the hippocampus - investigation
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Montpellier, Languedoc Roussillon | France | 2 months ago
. Understand and predict the links between the structure of thermoplastic polymer-based materials, studied on different scales, and their function during production, use, and post-use cycles to quantify
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Sciences Compensation Plan. UC Salary information can be found here: https://www.ucop.edu/academic-personnel-programs/compensation/2024-25-academic-salary-scales.html . Application Window Open date: June 12
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they change through time. To translate eBird observations into robust data products we create custom modeling workflows designed to fill spatiotemporal gaps based on remote sensing data while controlling
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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow