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are looking for a PhD candidate to develop and evaluate a mathematical model and algorithm to better tailor (risk-based) follow-up after cancer treatment. The role is highly impactful for ensuring sustainable
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the future? PhD research fellow in "Distributed Optimization and Control of Reactive Power" Apply for this job See advertisement Welcome to USN The University of Southeastern Norway (USN) ranks as the
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applications; and supporting research management and activities within AIDTRI. You should hold a PhD in Artificial Intelligence, Data Science, Computer Science, Mathematics, Physics or a related discipline, or
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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Are you fascinated by application-oriented research in mathematics and eager to work at the interface of numerical optimization, optical design, and uncertainty quantification? In this PhD project
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Job Description • Develop dynamic models and simulation frameworks for a novel pier-free telescopic coastal barrier system. • Design and implement coordinated control algorithms
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Skills: Proficiency in Python, TensorFlow, PyTorch, or similar frameworks. MS or higher degree (PhD preferred) degree in Computational Neuroscience, Computer Science, Bioinformatics, or a related field
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novel algorithms, aiming for theoretical guarantees when working with structured and unstructured data. Pursue and complete a PhD thesis within the appointed 4-year duration. Join the Vienna Doctoral
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 10 hours ago
-Computer Science Job Title Job Category Administrative & Managerial FLSA for Position Exempt Brief Summary of Work for this Position Research Execution & Algorithm Development Collaborate with PIs to execute
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Job Description We are looking for a Research Fellow under the National University of Singapore (NUS) to support a project investigating the fundamental theoretical and algorithmic performance