1,530 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at Nature Careers
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or plasmapheresis machines Experience in a blood donor center or plasma center Job Responsibilities: Independently perform and report pre-analytic and post-analytic activities for waived testing. Resolve donor
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uncertainty? What motivates our mice to solve this difficult problem? How does the brain support flexible behavior and strategy-switching? Learn more about the Dennis lab here What we provide: A collaborative
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and inclusive community in the practice and teaching of science. Successful candidates will be expected to establish a vibrant research program, teach graduate and undergraduate courses, and participate
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning
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every day to be your best. With opportunities for learning and growth, you can shape a career path that is right for you while also enjoying all the benefits and stability of working for a world-class
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opportunities for learning and growth, you can shape a career path that is right for you while also enjoying all the benefits and stability of working for a world-class institution. This includes work-life
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positive and collaborative working environment. Foster innovation in teaching and learning by supporting faculty in pedagogical advancements and instructional technologies. Student Engagement and Success
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current with the latest literature in chemical and chromatin/cancer biology is highly desirable. If you're passionate about scientific discovery and eager to learn in cancer biology, we invite you to apply
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for sickle cell disease and CAR T-Cell therapy applications. The HAL is composed of two sections, the Quality Control Section providing product analysis by flow cytometry, product quality testing for sterility
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management. Demonstrated experience in one or more applied computational fields: application of modern machine learning methodology, algorithms, computational modeling, finite element analysis, computational