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Field
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Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind
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Job Description Apply now Job Title: Postdoctoral Associate Division: Pediatrics Work Arrangement: Onsite only Location: Houston, TX Salary Range: $62,232 FLSA Status: Exempt Work Schedule: Monday
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Schedule: Flexible Summary The intern will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in our cluster computers. Overall, the position will offer
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by: Developing specialized algorithms supported on solid theoretical foundations and with a focus on challenging aspects of very high-dimensional datasets, such as datasets encountered in
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of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) and is for 24 months. The researcher will develop 3D mapping and reconstruction algorithms with relevance to mobile robotics
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problems in partial differential equations inspired by cutting-edge algorithms in statistics and machine learning Type of programme/project/ undertaking MAESTRO-16 Funding institution National Science Centre
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AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials
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on algorithms Requirements, qualifications, and/or competencies: Understanding of Neuromorphic Algorithms Schedule: 20 hours per week Position will end on 2/28/2026 Compensation: The starting rate for this job is
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different research areas. The more details can be kindly found as below: 1. Industrial AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making
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, develop, and evaluate predictive models and algorithms that lead to optimal value extraction from the data. Evaluates and implements novel approaches to address aims and milestones to multilayered datasets