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18 Sep 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) Established
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opportunity for someone who thrives in an interesting and challenging work environment. Core responsibilities include: Research in the intersection of discrete optimization and machine learning, including
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(quantity is less important); Experience in mathematical modeling of cognition or behavior (e.g. optimality, drift-diffusion); Advanced computational and/or programming skills (Matlab, Python, C++, R
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- 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Dec 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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7 Nov 2025 Job Information Organisation/Company Wrocław University of Science and Technology Department Department of Control Systems and Mechatronics Research Field Computer science » Informatics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be the nation’s leading public
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optimization Develop capsid modifications to enhance vector efficiency and reduce dosage requirements Analyze complex datasets from gene therapy experiments and interpret results Collaborate with
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method and to optimize this method for realistic high-performance computer calculations. Subsequently, this newly implemented method will be used in combination with embedding techniques to describe
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opportunity for someone who thrives in an interesting and challenging work environment. Core responsibilities include: Research in the intersection of discrete optimization and machine learning, including
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the perspective of numerical analysis and computational mathematics. The overarching aim of the project is to develop new mathematical theory and algorithms to identify, quantify and, where possible, mitigate