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model is employed to forecast renewable energy availability, providing crucial insights for the design optimization process. The ML-assisted operation tackles the dynamic optimization of parallel energy
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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,USA and Europe nationals. You will be part of a world-leading team in correlative in situ imaging of advanced manufacturing processes, with strong links to synchrotron facilities and industrial
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process, and evaluation criteria are available at Future Forests Fellowship website .
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any discipline of cancer research • Excellent track record of research accomplishments • Keen to embark on exciting and innovative projects in experimental and/or bioinformatics laboratories
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Supporting Dental, Oral, and Craniofacial Research Using Bioinformatic, Computational, and Data Science Approaches. See Notice NOT-DE-20-006 . April 1, 2020 - Notice of Special Interest: Developmentally
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loading, flexible working arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You
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at LSHTM. Applications should be made on-line via our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process
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electrochemical processes. About the Role: We are seeking a dedicated and detail-oriented Research Assistant to support experimental and analytical activities as part of the Heavy Industry Low-carbon Transition
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and approaches to improve the software engineering process in Continental, especially requirement engineering and testing Conducting the research in combining AI techniques with formal methods