195 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers in United States
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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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receive a professional development allowance, research allowance, a personal computer for use during the fellowship, tuition assistance, dependent care assistance, moving allowance, an employer-contributed
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building projects required. Experience with computer-aided drafting (AutoCAD) and Microsoft Office (e.g., Excel, Word, PowerPoint). Familiarity with current technical environmental impact assessment
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than 20% lower than the national average and our state places no personal income tax on wages. Plus, Memphians spend five hours less per year in their daily commute compared to the national average. Learn
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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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maintain malignancy, evaluating novel selective dependencies and resolving the mechanisms governing dependency, and application of machine learning, artificial intelligence, and other advanced data science
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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
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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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eagerness to learn from different avenues. Addresses needs/ problems in a logical manner, using defined approaches. Has clear, concise communication in both verbal and written communication. Listens
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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