86 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Nature Careers in United States
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machine learning techniques, will quantify groundwater recharge and groundwater resilience. Your responsibilities: Analyse the dynamics of hydrological connectivity of soil moisture using gridded soil
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machine learning methods are a plus. Qualifications: PhD in neuroscience, or related fields DeepLabCut or similar methods Demonstrated hands-on experience with 2-photon imaging techniques Experience
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information, military service, or other protected status.
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(EHR), health information exchanges, and data analysis software. Experience with health IT innovation, including working with artificial intelligence, machine learning, telemedicine, or mobile health
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immunology Experience with T cell engineering (CAR-T, TCR-T) and/or immunopeptidomics is preferred (but not required). At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and
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, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics
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learning new technologies. Minimum Education and/or Training: Bachelor's degree in relevant scientific area is required Minimum Experience: Compensation In recognition of certain U.S. state and municipal pay
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regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status
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identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. Pay
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functional assays in mammalian cells (e.g., IMCD3, RPE1, MEF) to assess ciliary localization, transport, and signaling • Rapidly learn and integrate new techniques as the project evolves • Maintain detailed