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fluorescence microscopy (SMLM, SIM), integrating physical-mathematical models, machine learning, and compressed sensing for accurate and efficient reconstructions. Applicants must submit a project implementing
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opportunities for collaborations with machine learning and bioinformatics researchers in Computing and Information Systems, biostatisticians in Population and Global Health, big data research in genomics in
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Job vacancy starting: 01.02.2026 (MM-DD
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Dec-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 8 days ago
an internationally recognized, federally funded research program in materials synthesis. Experience with data-driven and AI/machine learning methods to guide or enhance synthetic research objectives is desirable
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About Farmingdale State College: Farmingdale State College is a recognized leader in applied learning. With over 10,000 students, FSC is the State University of New York's largest college
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explainable AI techniques, machine learning, Large Language Models, case-based reasoning, and ontologies. Specific Requirements Programming in python, XAI libraries, machine learning and deep learning libraries
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with all samples. Finalize the development of analysis protocols and integrate all data onto a shared platform. Perform advanced comparative analyses and apply multi-omics/machine learning techniques
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/fractionalized phases of matter, via computational many-body physics nonequilibrium quantum dynamics, to quantum computation, quantum information, and machine learning. The Institute provides a stimulating