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models. Knowledge base of multivariable and vector calculus, as well as geometric algebra. Familiarity with machine learning and algorithms. Knowledge and proficiency with protein Large Language Models
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structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving
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, proteomics and genetic data. Assist in creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA, RNA, and protein sequences). Produce
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
technologies to scientific research study and experiment design, big data mining and processing, algorithm development, and complex computational analysis. They have expertise in the ethical issues of using AI
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algorithms and code, software, and research publications • Prepare results for publications, work with collaborators in writing publications, and, in some cases, take the lead in writing publications
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 3 months ago
according to the evaluation criteria listed below. 4.3 The Application Form must be fully completed, dated and signed, and its use is mandatory. It is available at: https://www.nms.unl.pt/pt-pt/faculdade
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the JAX Python library, including efficient implementations of classical numerical algorithms. 2. Extend the hybrid FEA-ML framework to include nonlinear cohesive zone models with simple traction separation
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the JAX Python library, including efficient implementations of classical numerical algorithms. 2. Extend the hybrid FEA-ML framework to include nonlinear cohesive zone models with simple traction separation
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collaboration in the development of a multilingual health literacy dictionary and the construction of a health literacy algorithm to be integrated into an API for health platforms, as well as contributing
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programme Reference Number AE2025-0600 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0600