403 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at Nature Careers in United States
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fellows at the University of Tennessee Health Science Center. Fellows receive a competitive salary, professional development allowance, a personal computer for use during the fellowship, tuition assistance
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PI or MPI on significant awards (e.g., R01, P01, U54) Demonstrated ability to teach and mentor in a research-intensive environment Preferred Qualifications For Early Career Assistant Professor Rank
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computational methods. For Area A: evidence of assay-algorithm co‑design in RNA/CRISPR/single‑cell/spatial/metabolomics. For Area B: experience with foundation models, multimodal learning, clinical NLP, and
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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 balance with
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implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning. The role involves
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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the Vice Dean for Academic Affairs. The chair is responsible for creating a research/learning/teaching/working environment that is broadly inclusive and fully supports the School of Medicine’s mission
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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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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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this requires (third-party funding) Enthusiasm for outstanding teaching Excellent written and spoken German and English or willingness to learn German in the first two years Expertise in molecular biological