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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description • Definición de variables y
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CIEMAT (Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas) | Spain | 2 days ago
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Magnetic
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position (2 + 2 model) under the supervision of Sebastian Szyller. Trustworthy & Adversarial Computing Lab is a newly established group. The lab has an extensive network consisting of companies and academic
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 3 hours ago
units in the Department of Criminology. Against the backdrop of their expertise in behavioral economics, particularly formal modeling, and experimental and applied microeconomics, the group explores
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Niels Bohr Institute Faculty of SCIENCE University of Copenhagen The Novo Nordisk Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a
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. Principal supervisor is Associate Professor Giorgia La Barbera (glb@nexs.ku.dk ), and co-supervisor is Associate Professor Henrik Munch Roager (hero@nexs.ku.dk ). The PhD programme The PhD programme consists
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Research focusses on theories and models from marketing and consumer research that can contribute to successful new product development (NPD). The group has experience in teaching and conducting high quality
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computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
bioinformatics tools, validated gene editing protocols, glycoengineered cell libraries, 3D organ and tissue models, and design matrices for the recombinant production of protein-therapeutics. CGR also hosts
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of physics-informed machine learning proxy models for large-scale CO₂ storage. The project addresses the significant computational burden of numerical simulation and optimisation of large-scale CO₂ storage