360 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at Nature Careers
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healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning
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your CV and academic transcripts. Eligibility & Funding Positions: Researchers who meet the conditions 4.1.1-4.1.4: https://tubitak.gov.tr/sites/default/files/2024-11/2232-Guide-EN.pdf https
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Requirements: * A brief, one-page description of project; we encourage a graphical abstract *Cover Letter * CV * Brief letter of support from Princeton faculty mentor (one page) Apply at https
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: https://ragoninstitute.org/yu/ and https://ragoninstitute.org/lichterfeld/ Job Duties: Responsible for the design, execution, and interpretation of experiments; Interfaces with collaborators to design
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the usual documents until 1/11/2026 on the application portal of the university using this link: http://obp.uni-goettingen.de/de-de/OBF/Index/76205 . For more information get in touch with Serena Müller
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of January 2026 on the dedicated platform (https://ibsafoundation.poliresearch.com/ ) and shall provide the following additional documents as separate files: Curriculum Vitae List of peer-reviewed publications
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Project Description: Drug toxicity and resistance are the leading causes of therapeutic failures. The Chen Lab (https://www.stjude.org/research/labs/chen-lab-taosheng.html) studies: (1) the chemical
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vitae, a brief cover letter outlining their research experience and interests, and contact information for three references via email to: sgong@engr.wisc.edu Research Group Website: https
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decisions are anticipated to be made by April 1st, 2026. Applicants must apply online at: https://www.princeton.edu/acad-positions/position/40521 Applications must be completed by January 31, 2026 at 5:00 PM
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collaborators. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease- and treatment-associated alterations in