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Topologically constrained physics-informed machine learning for modelling complex spin textures (S3.5-COM-Ellis) School of Computer Science PhD Research Project Competition Funded Students Worldwide
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of Acoustic Sensing and Machine Learning for Sustainable Battery
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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Driven Autonomous Metrology System Location Physical Measurement Laboratory, Sensor Science Division
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Supervisor: Professor Fernanda Duarte Start date: 1st October 2026 Applications are invited for a fully-funded DPhil studentship in Machine Learning Interatomic Potentials for Metal-Ligand
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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning for Autonomous Genetic Engineering of Microbial Systems Location Material Measurement Laboratory
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, Reasoning and Validation (Serval) research group and work on a research project related to the application of machine learning for official statistics. The subject of the thesis will be “Exploring Large
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About the role - The University of Nottingham is launching a new Medicine Curriculum in September 2026 and is in the process of building a new Clinical Teaching Centre and Exam Centre to support Clinical Skills and Simulation education. You will provide specialist technical support in the day to...
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or humanresources@tmcc.edu . Job Description We want you! Truckee Meadows Community College (TMCC) is recruiting Part-Time Faculty to teach courses in machining, CNC, milling, turning for the Department of Machining
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analysis across case study regions. The successful candidate will work on the development and application of AI/Machine learning and behavioural modelling within the North and Baltic seas, utilising legacy
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Competition Funded UK Students Dr Marco Fazzi