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Gordon Bell prize in 2023), and VeloxChem (a versatile open-source quantum chemistry software). As a postdoctoral researcher, your primary focus will be to pioneer innovative, technology-aware algorithmic
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++ for wireless system simulation, algorithm development, or experimental validation. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information $65,000 - $75,000, commensurate
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quantification using TROPOMI Observations). COGNITO aims to develop the first global, satellite-based system for detecting and quantifying carbon monoxide emissions from major urban areas and industrial facilities
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machine learning, Computer vision, Swarms, Autonomous Robots, hardware security, and Embedded systems development is desired. The successful applicant will work on various projects on robotics and computer
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are looking for a highly motivated post-doctoral candidate interested in advanced health data interoperability and harmonisation, federated data analysis and the development of next generation AI-based research
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on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. The role is suited for candidates with a strong machine learning background who are excited
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characterising chronic diseases and disease patterns from electronic health record (EHR) data through the development of advanced deep learning methodologies based on state-of-the-art foundation models. You will
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
or otherwise) or single-cell, spatial, bulk sequencing, or other biological data. • Experience in algorithms and good software development practices. • Effective communication skills. About the Principal
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team at the University of Twente, you adapt existing quality control algorithms and develop additional validation methods. You participate in recurring online meetings with scientists and technicians
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expected to bring expertise in all of them: Experience developing or implementing quantum algorithms for Hamiltonian simulation. Background in quantum materials or quantum many-body physics, particularly