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Ref.: 532117 Work type: Full-time Department: Teaching and Learning Innovation Centre (47500) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as
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Organisation Job description The advent of modern machine learning (ML) methodology is accelerating scientific progress by streamlining research across disciplines. In chemistry, it enables
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to determine areas of enhanced predictability Work closely with collaborators to design the machine-learning based forecasting tool to be used by Climate Prediction Center forecasters Visit the Climate
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Information Position Summary The University at Buffalo School of Management (SOM) is an official awardee of the New York Semiconductor Manufacturing and Research Technology Innovation Corridor Tech Hub
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. The primary objective is to design robust and efficient planning solutions—integrated within a digital twin—that account for the uncertainties and variability inherent in industrial processes. Machine learning
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experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and deployment
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Purdue’s strategic focus on health equity and population health. Program Goals and Learning Objectives The fellow will gain experience in: Designing and conducting pharmacoepidemiologic studies in cancer and
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Staff Job Description Required Education: Ph.D. in Biochemistry Preferred Experience: Prior experience with AlphaFold and other machine learning approaches are required. Required skills, knowledge
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integrating multi-modal perception and tactile feedback, for locomotion and manipulation. You will be responsible for the design, development, implementation and evaluation of learning-based loco-manipulation
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Glimpse of the Job This postdoctoral position will support research on the design and construction of novel mechanochemical reactors and oversee the day-to-day operations of the NSF CMCC Mechanochemistry