34 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at Nature Careers
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-author manuscripts, conference presentations, and mentorship of junior trainees. What we’re looking for. Prior, hands-on experience engineering immune cells—specifically CAR and/or TCR T cells—is required
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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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biopsies and blood to dissect mechanisms of inflammatory bowel disease, CAR-T enteritis, and ICI colitis. Integrate single-cell/spatial multi-omics with experimental validation in human/mouse intestinal
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consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service
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of the Armed Forces Covenant and welcome applications from service people. Further information Before submitting an application, you may wish to discuss the post further by contacting Elaine Bignell, Co-Director
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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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beyond the military. By providing a platform for distinguished researchers to contribute to the Air Force's science and technology initiatives, the AF STFP plays a crucial role in maintaining
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an interdisciplinary team. Stay informed of developments in the field to maintain and enhance professional expertise. Perform lab maintenance, including equipment upkeep and supply ordering. Teach techniques to train
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to Work scheme and public transport discounts. Personal Development: unlimited access to LinkedIn Learning courses, specialist advice and training from our Organisational Development and Professional
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Optimized Tissue Culture and Single-Cell Omics Digital Composite Manufacturing Multi-Element Alloys Resistant to Hydrogen Graph based inverse reinforcement learning (IRL) framework for analyzing and