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for society. With the launch of VIB.AI, we are expanding our mission to harness the power of artificial intelligence for life sciences research, innovation, and impact. We are now looking for a Machine Learning
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 22 hours ago
image processing, disease detection, diagnosis, and therapeutic monitoring. The program addresses critical regulatory challenges posed by AI devices that can continuously learn and adapt, including
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development and strategic initiatives. Job Requirements: Ph.D. in Artificial Intelligence, Computer Science, Machine Learning, Natural Language Processing, Information Retrieval, Data Science, or a closely
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We are looking to appoint a skilled Machine Learning Scientist (KTP Associate) in Multimodal Data Integration with a background in deep learning. This is an exceptional opportunity to work as a KTP
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A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians Aalto University is where science and art meet technology and business. We
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• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc. • Experienced in machine learning, optimization and programming
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is seeking a PhD student to join an ongoing Royal Society–Research Ireland University Research Fellowship project focused on Machine Learning for the Design of Additively Manufactured Two-Phase Heat
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fellow to join the multidisciplinary research team of Dr. Akhilesh Pandey at Mayo Clinic, Rochester, working at the intersection of digital pathology, artificial intelligence (AI), and machine learning
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We are looking to appoint a motivated researcher to conduct computational research in the field of machine learning, specifically at the interface of large language models and statistical mechanics
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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how