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mathematical and analytical skills Solid knowledge and skills in time series machine learning Significant experience in programming A desire to invent new solutions in collaboration with senior and junior
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Are you interested in developing new image analysis and machine learning methods for cancer diagnostics and clinical decision support? Would you like to work in a multidisciplinary team together
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the psychology of learning, mindfulness, and their connections to psychopathology, especially anxiety. Proactive, collaborative, and flexible nature with strong organizational skills. Thrives on challenges and
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and Machine Learning Researcher will report to Ayan Paul, Research Scientist at EAI. There will also be opportunities to work on industry collaborations. Responsibilities will include building an ETL
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FAult Detection, Isolation and Fault Tolerant Guidance and ConTrol). REACT is a 3-year collaborative effort to develop autonomous fault management solutions for reentry capsule propulsion systems, funded
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description Integreat - the Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo invites applications for a doctoral research fellowship. The PhD candidate will work at the
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-edge research including experimental design, data collection and analysis, and dissemination; Research in collaboration with academic partners and international collaborators; Lead and contribute
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studentship in the Environmental Planning Pathway starting in October 2026. The collaborative studentship is entitled: Adapting for change: deliberative approaches to farm system climate adaptation in the Usk
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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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with NEOM, one of the world’s largest ecological restoration programmes, the project will develop machine-learning approaches to analyse satellite observations of vegetation change and evaluate large