203 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
, 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
-
maintain malignancy, evaluating novel selective dependencies and resolving the mechanisms governing dependency, and application of machine learning, artificial intelligence, and other advanced data science
-
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
-
excellent schools, rich cultural opportunities, outdoor recreation, and proximity to Chicago. Learn more about living and working in Milwaukee at versiti.org/careers/living-in-milwaukee.
-
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
-
, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring
-
/ processes end-to-end and collaborating with cross-functional teams. Knowledge of Microsoft Office Suite (e.g., Outlook, Word, PowerPoint, Excel) and other computer applications. Proven performance in earlier
-
compactor areas. Performs maintenance as required on electric and battery floor machines, blowers, industrial wet/dry vacuums, carpet shampooing equipment, and upholstery shampooing equipment. Reports any
-
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