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. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
, storing, disseminating, and translating data into actionable insights. * Algorithms and Models: Mathematical, computational and statistical tools that empower researchers and stakeholders to discover
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, storing, disseminating, and translating data into actionable insights. * Algorithms and Models: Mathematical, computational and statistical tools that empower researchers and stakeholders to discover
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Cancer Institute seeks a Computational Biologist in the Gillani Lab in Computational Pediatric Cancer Research (https://gillanilab.dana-farber.org/). The Computational Biologist will work on the analysis
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. Norbert Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc
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and efficiency of life sciences research. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling
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bioinformatics, computational biology, biology, genetics, computer science, statistics, applied mathematics, physics or a related field. Strong programming skills in Python, R, C/C++ or similar, with experience
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for such grants. RENEWALL Renewable is subject to performance if the candidate is enrolled in a MSc program - art. 6º, n.4 b) https://www.fct.pt/wp-content/uploads/2026/01/RBi_Republicado_2025.pdf subject to
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membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. If you are looking for a rewarding career
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, physics, computer science or related discipline. Experience: Python programming for scientific applications. Experience with AI/ML algorithms. Technical Knowledge Skills: Computer programming, particularly