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methods to improve the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under
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predictive modelling Development of model predictive control algorithms for energy-efficient and flexible building Contribution to prescriptive maintenance strategies and user-centric digital interfaces
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the expertise of the candidates PhD advisor, ensuring advancement of independent scholarship Present research findings at 1 to 2 national/international conferences annually Securing at least 1 major grant
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must have an MD, PhD or MD/PhD degree, and experience in clinical research. This position also the opportunity to contribute to cutting-edge research in advanced endovascular aortic research within a
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deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement
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algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates to have the following skills and experience. We welcome
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, the work might involve implementing new algorithms in the SCT tool Supremica, which is developed by the Automation group. Main responsibilities Conduct research in collaboration with senior researchers and
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data, metabolomics and/or proteomics. Develops robust pipelines for data annotation, analysis, and quality control. Creates analytical algorithms and tools to address scientific questions with big data
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Title: Postdoctoral Research Associate (Skellam Lab) Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas Division: UNT-Provost SubDivision-Department: UNT-College
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Job Title Postdoctoral Research Associate Agency Texas A&M Agrilife Research Department Entomology Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff Job