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evolutionary). The project aims to approximate a Boltzmann distribution associated with an objective function that is difficult to optimize in order to solve complex optimization problems. This probabilistic
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: Postdoctoral Scholar Salary range: A reasonable salary range estimate for this position is $69,073 - $82,836 based on level experience. The posted UC academic salary scales https://www.ucop.edu/academic
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. This full-time position offers a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic and inspiring international
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state-of-the-art statistical and mathematical methodology to improve understanding of epidemic dynamics and control. They will work on one of the new projects starting in the Unit, including i) analysing
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is within the project: “Centre of Excellence in Computer Assisted Systems for Drug Dosing Control and Optimisation”. The candidate should be able to handle state of the art research in biomedical
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, Shunlei Li, Sara Moccia, Giorgio Peretti and Leonardo S. Mattos, “Automatic Delineation of Laryngeal Squamous Cell Carcinoma during Endoscopy,” Biomedical Signal Processing & Control, https://doi.org
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, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Dependent on experience and qualification. Proposed Start Date 05/11/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative
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how to engineer their spectral response for multiparameter sensing, guided by fundamental bounds on estimation precision, and implement advanced computational design methods to realize optimal
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
operators for fire observations for atmospheric data assimilation Implement ensemble methods in the fire emissions estimation and estimate uncertainties Utilize bi-phasic FRP retrievals for dynamic