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atomistic simulations, however these suffer from inconsistent accuracy, particularly for fluoride-containing salts and complex mixtures. On the other hand, ab-initio simulations which explicitly handle
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of the way. With 3,200 m² of state-of-the-art lab facilities, housed in a museum with more than 40 million natural history objects, dedicated mentorship, and access to our broad international network
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Networks, and ICT Services & Applications. Your role This Ph.D. position offers a chance to join a dynamic, interdisciplinary research group at the forefront of tackling complex global challenges
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Evolutionary Medical Genomics (EvoMG) is a MSCA Doctoral Network programme that pioneers an integrative approach combining Evolutionary Medicine and Medical Genomics to address critical health challenges. By
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automata, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
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of buildings. This presents many opportunities, but also requires careful planning and operation to deal with emerging challenges such as network congestion. Recently, positive energy districts (PEDs), i.e
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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | 12 days ago
directly to pioneering, internationally visible research; working on a friendly enviroment offering dedicated mentorship; and having access to a large international network, and to 1000m² of lab facilities
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, and this process is tightly regulated by a network of chaperone proteins. At the heart of this network is Hsp90, a molecular chaperone essential for the folding and maturation of at least 20% of all
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and patient stratification. The laboratory is supported by prestigious national and international grants, including an ERC Synergy Grant, and is embedded in an active network of collaborations with
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, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree