818 computer-programmer-"https:"-"https:"-"https:" Postdoctoral positions in United States
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of Applied/Computational Mathematics. Research topics of interest include numerical methods for scientific machine learning and AI, and their applications to various science and engineering disciplines
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connections for meaningful AI and domain collaborations. As a key participant in Empire AI (a $565M+ investment in AI infrastructure), AI3 researchers will have access to significant shared compute resources
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at UD? In addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. Context of Job Conduct research in theoretical particle physics and
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systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine first-principles modeling, machine-learning
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and, with them, will formulate a mentoring plan tailored to their careers upon their arrival. This will include weekly meetings and funding for conference travel. Essential functions of the position
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computational language. Strong writing and oral communication skills. Ability to engage in creative troubleshooting. Additional Application Materials Required: Materials required: updated CV, cover letter, and
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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machine learning models to integrate real-time monitoring data. Collaborate with colleagues in computer science and computer engineering to develop models. Contribute to the dissemination of research
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Posting Details Posting Details Job Title Post-doctoral Scholar Requisition Number DU14368 Department Name 7H045: Barnstable Brown Diabetes Center Work Location Lexington, KY Salary Range Commensurate with experience Type of Position Student Position Time Status Full-Time Required...
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experience in economic and supply chain analysis, computational modeling, or policy analysis. Proficiency in scientific programming languages (e.g., Python, R) and data analysis libraries (e.g., pandas, NumPy