51 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
the desire to make a meaningful impact? Economics & Business Administration- Postdoc Fellows E-STEEM Call 2026 174 Research Services and Career Development Startdate: 01.10.2026 | Working hours: 40
-
) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
-
: The Artificial Intelligence Regulatory Science Program conducts regulatory science research ensuring safe and effective AI/ML-enabled medical devices across rapidly expanding healthcare applications including
-
/social sciences ≤40. Hundred Talents Program B: At least 3 years of study or work experience at renowned institutions abroad or in China; notable research achievements with good potential; age limits
-
and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning
-
nervous system (CNS) tumors. We are seeking an exceptional candidate to join our Molecular and Cell Biology (MCB) Program. This position focuses on investigating DNA repair pathways in brain tumors, with
-
. This unique program brings together expertise in cancer care delivery research (Dana-Farber’s Center for Outcomes and Policy Research), along other Population Sciences pillars (DFCI’s cancer genetics, health
-
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
-
Support Program, 2 talents with the National Outstanding Youth Fund as well as more than 30 winners of various national, provincial and ministerial talent projects. With advanced technology and equipment
-
computational modeling, in vivo biological assays, and radiation physics and engineering approaches to define the mechanisms and optimal radiation dosimetric parameters by which FLASH-RT mitigates radiation