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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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Position Description Postdoctoral Associate Job Summary: Drs. Rushina Cholera (Duke-Margolis, Duke Pediatrics), Lisa Gennetian (Duke Sanford), and Sarahn Wheeler (Duke School of Medicine), co-leads
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seeking applicants for a full-time postdoctoral scholar position in Computational Immunology and Genomics. The successful candidate will develop and apply computational, statistical, and machine-learning
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atomistic simulations, scientific machine learning, reaction modeling, and integration of computational and experimental data. The associate will develop reproducible computational workflows, collaborate with
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sensing, including Ultrasound and Hyperspectral Imaging (HSI), Artificial Intelligence (AI) and Tiny Machine Learning (TinyML). Duties As a Postdoctoral researcher you are expected to perform both
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, observations, a hierarchy of numerical models, and machine-learning methods to understand their formation, dynamics, and predictability. The successful candidate will have substantial freedom to develop
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A 12-month full-time Postdoctoral Research Associate position is available win Prof. Philip Edmondson in the Department of Materials for an ambitious and talented researcher in the field of nuclear
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técnicas de machine learning e IA. Sólidos conocimientos en análisis y tratamiento de datos, programación y desarrollo de modelos analíticos. Experiencia con bases de datos y herramientas de análisis
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diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership
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Post Doc Assoc. Postdoctoral Associate in Next Generation Diagnostics Dr. Diego Diel’s Laboratory (Diel Lab) Department of Population Medicine and Diagnostic Sciences College of Veterinary Medicine