738 programming-"https:"-"https:"-"https:"-"UCL"-"UCL" Postdoctoral positions in United States
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detectors while also having flexibility to pursue your own research interests. Research Focus Participate in a detector R&D program aimed at developing superconducting nanowire sensors to enable
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, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, income
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, toric geometry and programming in SageMath & Magma. Salary and benefits: Competitive salary, conference travel support, 75% discount on fully furnished on-campus lodging, private health insurance and meal
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in the research program of Dr. Huiqi Ni. The candidate will conduct studies in the area of organic synthesis and catalysis, including methodology development and mechanism investigation. The candidate
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functional and performance testing and program automated testing using Automated Functional Testing software. Perform system and data analysis of eRA and related compliance applications, integrations and tools
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| Surgical Oncology Job Description The Ohio State University Comprehensive Cancer Center (OSUCCC) – James is the only cancer program in the United States featuring a National Cancer Institute (NCI)-designated
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order to uncover biologically and clinically meaningful disease subtypes, regulatory programs, and therapeutic vulnerabilities. This position provides strong mentorship, access to large clinical cohorts
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application to power systems, control, optimization, or cybersecurity. Programming skills in Python and experience with at least one modern machine learning framework such as PyTorch or TensorFlow. Demonstrated
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crystallization reactions. Present and report research results and publish scientific findings in peer-reviewed journals in a timely manner. Ensure compliance with environmental, safety, health and quality program
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in top-tier machine learning/AI conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading machine learning frameworks (e.g., TensorFlow, PyTorch