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large physical modeling basin which serves as a vital resource. Required Qualifications* A doctoral degree in Mechanical, Aerospace, Naval Architecture & Marine Engineering, Scientific Computation
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, STATA, R, and SPSS). Experience in conducting evidence synthesis and systematic reviews. Preferred Qualifications Work Experience: Experience with advanced analytical theories, predictive modeling, data
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interpretation. This role will involve working closely with civil engineers, computational modellers, Physicists, and geophysicists to translate raw sensor outputs into actionable insights. Role Summary Lead data
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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a track record in computational modelling that explores the dynamics of AI systems and the development of autonomous AI agents, experience with machine learning, reinforcement learning, and generative
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experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals
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The lab of professor Jesper Tegnér at KAUST has openings for three postdoctoral fellowships in Data-driven Machine Learning for unbiased Discovery of Generative Models with special reference
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 11 hours ago
in vascular biology and cardiovascular physiology. The fellow will lead and contribute to translational research projects focused on cardiovascular assessments in small animal models, particularly in