231 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in United States
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high-dimensional, dynamic, networked system, applying techniques from machine learning, causal inference, statistics, and algorithms. No prior biomedical training is required—just strong quantitative
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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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of security related experience (e.g., security program, police organization, military branch, conflict counselling). Experience in data entry and working in emergency situations and fast pace stressful
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is a plus Strong organizational, communication, and time-management skills A proactive, problem-solving mindset and eagerness to learn Ideal commitment to at least 2 years of full-time research before
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, it is critical that pediatric hematology/oncology practitioners understand and learn how to incorporate recent exciting yet complex discoveries surrounding germline genomics into the daily management
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and can be customized to meet participants' individual learning goals. Participants manage patients with a wide variety of infectious diseases on both an inpatient and an ambulatory basis. St. Jude
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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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to integrating computational simulation, data science, and deep learning technologies to deeply explore structure–property relationships in materials. Its goal is to drive the precise design and development of new
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Neuro-Oncology Pharmaceutical Psychosocial Infectious Diseases Fellows receive a professional development allowance, research allowance, a personal computer for use during the fellowship, tuition
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productivity Prior research experience in primary or induced neurons is a plus. Successful applicants are expected to demonstrate a high level of independence, a willingness to learn new approaches and