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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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Description The doctoral student will study the integration of molecular motors into supramolecular self-assemblies, and how the mechanical work generated by the actuation of the molecular machine will
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expertise in HCI and education, including adaptive gamification, engagement, learning analysis, and the design of motivational affordances in education. As part of the project, the PhD student will work with
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or other large-scale biological data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, focusing on single-cell
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within the project AI4TECSWriting a doctoral dissertation in computer sciencePublishing research findings in leading international conferences and high‑impact journals in AI, machine learning, and
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these fields, but you must be open to learning about and embracing challenges in fields you may not yet have been working with. We thus warmly encourage you to apply even if you feel that you only partially meet
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Package 6), equipping them with advanced skills in reservoir modeling, machine learning, advanced oxidation processes (AOP), and microbial enhanced recovery. DCs will also develop intuitive fluid chemistry
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activities Your profile Master's degree in educational sciences, linguistics or psychology. A strong theoretical understanding of language learning is necessary to engage in qualitative research with education
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opportunity to learn, grow and play a key role within a centre of excellence. …AND THAT’S NOT ALL! You may be interested in the benefits that come alongside your main role: A cutting-edge research ecosystem
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly