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Research Associate, Cellular and Molecular Medicine Posting Number req26705 Department Cellular & Molecular Medicine Department Website Link https://cmm.arizona.edu/ Location Tucson Campus Address 1501 N
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
the Czech AI Factory, and close ties to the highly active ELIXIR community (IOCB Prague hosts the ELIXIR CZ node), giving you access to infrastructure, data resources, and a strong network of collaborators
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molecules to neural networks and psychosocial systems”, PN-IV-P6-6.1-CoEx-2024-0139, Where to apply E-mail [email protected] Requirements Research FieldNeurosciencesEducation LevelPhD or equivalent
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molecules to neural networks and psychosocial systems”, PN-IV-P6-6.1-CoEx-2024-0139 Where to apply E-mail [email protected] Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills
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genes and molecules to neural networks and psychosocial systems”, PN-IV-P6-6.1-CoEx-2024-0139, Where to apply E-mail [email protected] Requirements Research FieldPsychological sciencesEducation
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within a unified network. This role offers the opportunity to advance fundamental theories and enabling technologies while supporting the translation of research outcomes into practical industry solutions
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international standard commensurate with the length of the applicant’s academic career experience of participating in national and international research networks time spent working at internationally recognised
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which CREs regulate gene expression. Interrogating Genetic Architectures: Explore how combinations of variants together create a phenotype or disease state through phenotype associations and network logic
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through secondments and placements. Finally, dedicated staff will help the fellows to relocate in Brittany. BENEFITS A 24-month fellowship with an estimated net remuneration of 2,711€ per month, a mobility
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and qualifications Expertise in advanced machine learning, deep learning and image vision techniques with focus on EO data (e.g. deep convolutional neural networks, transformers, deep learning based