85 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Nature Careers in United States
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of mitochondria in T cells and must have prior experience with mouse models and immunological techniques. They will have the opportunity to learn and perform LC-MS metabolomics using the Thermo Orbitrap Exploris
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al., Nature Communications 2014; Martel et al., Journal of Neuroscience 2016). We also described epigenetic modifications and new gene targets of CREB-dependent transcription following learning
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, including CAR-T cell therapies. Qualifications: Applicants must hold an MD, PhD, or MD-PhD. A strong background in immunology, neuroscience, and/or cancer biology is essential. Prior experience with iPSCs
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interested in implementation science, cancer prevention/control, and community-engaged research. To apply or learn more, please contact: Heather M. Brandt, PhD Director, HPV Cancer Prevention Program Member
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(e.g. Docker, Singularity) is desirable. Solid understanding of software development best practices (version control, testing, documentation). Mentoring Skills: Proven ability to mentor and teach others
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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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. St. Jude trainees are able to learn from clinical and basic science investigators who work in close proximity and interact regularly to translate scientific discoveries into improved therapies
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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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or car free use of Nextbike from the Buch S-Bahn station to the campus Subsidy for the job ticket as well as discounts in the campus canteen On-campus health and fitness center additional health
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to independently design, execute, and troubleshoot experiments Strong computational skills for processing complex cryo-EM datasets Enthusiasm and demonstrated ability to rapidly learn new techniques Prior training