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: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification Registered Nurse (RN) and must advance on UKHC
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programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is
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-driven and machine-learning models. The role will also involve conducting materials synthesis and electrochemical studies, troubleshooting and improving automated workflows, analyzing research data, and
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biosafety level 2 (BSL2+) lab), immunology (such as flow cytometry and CAR-T engineering), molecular biology (such as CRISPR, RNA biology), or animal models, (e) collaboration with other researchers both
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Establish a living-learning environment on the floor and within the hall through role modeling and involvement Participate in development and advising of floor/hall activities, hall government, and encourage
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-package (https://www.people-led.org.uk/netzero ). This role is for someone with proven expertise in whole-building energy analysis, particularly thermal modelling. It will involve : building a thermal model
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5 Sep 2026 Job Information Organisation/Company Radboud University Medical Center (Radboudumc) Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher
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biology, multiscale modeling, mathematical physiology, simulation, machine learning, artificial intelligence, human-computer interaction, data integration, and mathematical and predictive analytics to marry
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fundamental learning procedures to tackle distressing images related to aversive memories. The aim is to generate insights with direct impact on clinical practice and patient wellbeing. PhD Candidate Reducing
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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | 3 days ago
to investigate and manipulate the immune system for therapeutic gain. Specific areas of interest include, but are not limited to: Machine learning applied to immunological challenges, such as modeling immune