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- Institute of Photonic Sciences
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description IMDEA Food Nutrition is part of the Network of Madrid
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for information and communication technologies, in particular displays, image sensors and secure communications. The main drive of the group is to carry out applied research which bridges academia and industry, by
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. Familiarity with statistical modelling, machine learning and deep-learning Additional information: We offer: 🌐The opportunity to work with our state-of-the-art HPC infrastructure and to join a vibrant network
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surrogates of electronic Hamiltonians. The postdoctoral researcher will develop graph neural networks based on the MACE architecture to predict Hamiltonian elements for 2D materials and van der Waals
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effectiveness and toxicity of the treatments. Other duties: Develop and validate cancer risk prediction models using deep neural networks based on semistructured data. Develop and validate learning strategies
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and takes part as one of the groups of excellence in the Centre for Biomedical Research in Network-Pathophysiology of Obesity and Nutrition (CIBEROBN) of the Carlos III Institute of Health (ISCIII
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international scientific networks, with more than 81% of the total number of papers published in collaboration (81.3%). As for collaborative publications, almost 56% were national collaborations and 45% were
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. The successful candidate will be joining the Quantum Photonics with Solids and Atoms group led by Prof. Dr. Hugues de Riedmatten. The group has experience in quantum technologies for quantum networks, including