20 condition-monitoring-machine-learning Fellowship positions at Johns Hopkins University
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work that underpins the scientific research of the collaboration. Research Title: Coupling Computation and Machine Learning to evaluate PFAS Chemicals The work will entail: The position is for a
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on innovative design for legal and regulatory systems for AI and other complex global technologies; computational models of human normative systems; and working with machine learning researchers to build ML
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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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work that underpins the scientific research of the collaboration. Research Title: Process Modeling using Physically Informed Machine Learning The work will entail: § Designing and training physics
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transmitted to the larger organization. Qualifications § A PhD in Electrical and Computer Engineering, Applied Physics, or a related field § >3 years experience with Lumerical and Comsol electromagnetic
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/ On Call Schedule: Monday-Friday, 8:00am-5:00pm FLSA Status: Non-Exempt Location: Hybrid/District of Columbia Department name: ???????Edwin O Reischauer Ctr for E Asian Stds Personnel area: SAIS Create a Job
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/Range: ACRO40/E/03/CD Starting Salary Range: $17.20 - $ 30.30 HRLY (Commensurate w/exp.) Employee group: Limited Schedule: Monday-Friday, 8:00am-5:00pm FLSA Status: Non-Exempt Location: Hybrid/District
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Python and LabVIEW. - Experience in or desire to learn computer assisted design (CAD) software like SolidWorks. Application Instructions Please upload the following with your application
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is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Citizenship status - Languages spoken - Sex/Gender Privacy Act
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just to learn but also to advance learning itself. Critical thinking, problem solving, creativity, and entrepreneurship are all encouraged and nourished in this unique educational environment. After