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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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Science (Ref: FST241110) Job Description Candidates with expertise in one or more of the following areas: Database Management Systems, Programming Languages, Machine Learning, Data Mining, Data Processing
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policies, practices or procedures. Apply online at https://pointloma.wd1.myworkdayjobs.com/en-US/PLNUCareers/job/Mission-Valley-Campus---San-Diego-CA/Director-of-Military-Student-Engagement-and-Strategic
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, and streaming media production. Ability to work in consultation regarding online instructional materials. Ability to learn new procedures and operation of technology. Email to a Friend https
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 5 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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and methods for advancing the research effort Design and carry out computer experiments on deep learning and related robotic simulations Collaborate with other engineers to create prototypes of embodied
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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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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
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approaches for using machine learning to analyze X-ray data, particularly Resonant Inelastic X-ray Scattering (RIXS). The position will collaborate with experts in RIXS experiments (Mark Dean), computational