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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Scholar Position Title Cancer Health Drivers Program Postdoctoral Trainee Vacancy ID PDS004936 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
Scholar Position Title Cancer Health Drivers Program Postdoctoral Trainee Vacancy ID PDS004936 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location
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Position Description Position Title: Postdoctoral Researcher, Quantum Many-Body Theory and Quantum Computation Position Number: JR103226 Job Description Summary Organization's Summary Statement
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help develop new computational models that integrate molecular reaction networks with AI/ML algorithms in order to predict patient-specific cardiac remodeling and heart disease outcomes across human
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domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School
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matter, and quantum computation. The initial appointment is for two years, with the possibility of renewal or promotion to a senior research position contingent on mutual agreement and performance
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Researcher (R3) Application Deadline 8 Aug 2026 - 00:00 (UTC) Country Morocco Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical
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Laboratory, which investigates how post-translational modification (PTM) networks regulate protein function, genome stability, and cellular decision-making. The laboratory builds on internationally recognized
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to a future in which we can rely on better robots, autonomous networks, and other smart systems – impacting domains such as healthcare, transportation, and other areas of our society. These systems