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Venturelli Lab The Venturelli Lab at Duke University (www.venturellilab.org) is seeking highly motivated researchers or postdoctoral researchers with expertise in machine learning, deep learning, and/or
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Neutral Infrastructure (dfCO2), this role contributes to Program 4: Machine Learning for Carbon Performance (https://dfco2.org.au/program_4 ) that aims to advance the next‑generation AI methods to model
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, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking two
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for testing machine learning algorithms applied to generative design in support of existing heritage regeneration processes. Where to apply E-mail reclutamento.docenti@ateneo.uniroma3.it Requirements Additional
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English speech and writing skills and proven experience in editing and scientific writing. Must be highly computer literate with experience in MS Office and Adobe Software and be able to manage scientific
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/10.1016/j.xcrp.2022.101112 and https://doi.org/10.1080/08940886.2022.2114716 key words synchrotron radiation; X-ray Absorption Spectroscopy, machine learning, artificial analysis, autonomous experimentation
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?: Preferred Computer Applications: Preferred Other Computer Applications: Photoshop, Prism Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https://unmc.peopleadmin.com/postings/96619
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Aided Dispatch (CAD) system, and processes non-emergency and routine requests for police and security services. Dispatch appropriate emergency services such as police, fire and emergency medical services
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11 Mar 2026 Job Information Organisation/Company cellumation GmbH Department HR Research Field Engineering » Computer engineering Engineering » Mechanical engineering Researcher Profile First Stage