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, disability, retirement, family life support, employee assistance program, onsite health clinic, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to
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vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and
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level Remuneration according to TV-L incl. occupational pension plan and capital-forming payments 30 days of vacation per year Flexible working hours Possibility of part-time work Family-friendly working
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to develop knowledge and understanding to form relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with others and contribute
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. Participation in professional advocacy activities. Qualifications Required Qualifications: Possession of a Doctorate in Psychology from a program accredited by the American Psychological Association (APA
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Job Description Job Responsibilities: -Coordinate genomic prediction research in the Texas A&M AgriLife Research Sorghum Improvement Program. -Build and manage a database amenable to both genomic and
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, including Professors Christos Bourantas and Francesca Pugliese, alongside basic scientists at the Institute and a clinical fellow within the same BHF programme. The role offers the chance to develop expertise
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 2 months ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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colleagues in areas of research Expertise Possess sufficient breadth or depth of specialist knowledge in the discipline and of research methods and techniques to work within established research programmes
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research program in Artificial Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level