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Field
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Do you have a technology-driven solution to a compelling and unmet need in digital health or life sciences? If you need a boost to launch your solution to market, this fellowship may be for you
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Sensing (DAS) data processing and compression using ML Physics-driven machine learning for geophysical modeling and inversion Thus, the candidate is expected to have or about to have a PhD in a relevant
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
conditions: Scientific area: Bachelor’s Degree in Systems Engineering. Work plan: Model-based digital twins supported by physics-informed machine learning for multiphysics modeling. 1. Grant duration and
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, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields. You will be an integral member of an inter-disciplinary
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Institute at City of Hope. You will work on projects investigating the new pathways and targets in diabetes/obesity and cancer. The lab uses genetically engineered mouse models and molecular pharmacology
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As a University of Applied Learning, Singapore Institute of Technology (SIT) works closely with industry partners to deliver impactful, application-driven research. This position supports a
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: The postdoctoral fellow is expected to develop data-driven mathematical and computational models, with a primary emphasis on the methodological rigor required for high-impact scientific publications. This position
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control theory (e.g., model-predictive control, etc.), data-driven modelling and control methods (e.g., reinforcement learning, transfer learning, etc.) Proficiency in programming tools and languages, e.g
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publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
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driven predictive models to improve optimisation, consistency and overall yield. The main focus for this role is to work with the driven research team who are at the forefront of sensor technologies