57 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at Center for Biological Research "Margarita Salas" CSIC
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performance, yet their atomic-scale origin and role in reactivity remain poorly understood. The project addresses this open problem by integrating high-throughput Density Functional Theory, machine-learning
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, materials science, or a closely related discipline Apply: https://mgician.eu/research/doctoral-candidate-projects/dc1/ DC2: Synthesis and Transport Studies of Magnesium-Based Thermoelectric Materials Host
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merit-based, and all applicants compete on the same terms. For all details of the call and to learn how to apply, please read the attached PDF of the job offer in our web site: https://www.icm.csic.es/en
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LevelBachelor Degree or equivalent Skills/Qualifications Ongoing Degree/Master’s in Chemistry, Pharmacy, or a related field Strong knowledge of organic chemistry Interest to learn some biology assays
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LevelUndergraduate Skills/Qualifications Ongoing Degree/Master’s in Chemistry, Pharmacy, or a related field Strong knowledge of organic chemistry Interest to learn some biology assays LanguagesENGLISHLevelExcellent
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or equivalent Skills/Qualifications Technical Skills: Programming and integration of machine learning algorithms, reinforcement learning and symbolic planning in real robotic platforms. User modeling techniques
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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collaboration with other researchers from the Department. The selected candidate is also expected to attract national and international research funds, supervise doctoral theses, and should be able to teach
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Information Work Location(s) Number of offers available1Company/InstituteCentro Nacional de BiotecnologiaCountrySpainGeofield Contact State/Province Madrid City Madrid Website https://www.cnb.csic.es/ Street
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publications abd advanced English proficiency. Experience in student supervision is desirable. Candidates must also meet the eligibility criteria for FAPESP post-doctoral fellowships (see https://fapesp.br/en