329 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "inserm" positions at Columbia University in United States
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We invite applications for: Staff Associate I in the Department
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the University?s mission. The Office promotes a family supportive culture, raises awareness of Work/Life programs, supports recruitment and retention, and improves policies, benefits, services, programs, and
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Hunt Lab in the Department of Biological
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Deadline 15 Mar 2026 - 00:00 (Africa/Abidjan) Country United States Type of Contract Not Applicable Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU
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. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary Reporting to the Program Director of
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, EHR, microbiome, metabolomics, immune profiles). This is a position for someone with computational biology experience and with excellent written and verbal communications, computer programming
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Systems Lab (http://www.bioee.ee.columbia.edu ) at The Fu Foundation School of Engineering & Applied Science of Columbia University in the City of New York invites applications for an Associate Research
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Requirements The candidate selected for this position is required to undergo a drug screening test prior to a final offer of employment being made. Participation in the medical surveillance program: Contact with
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programs, developing and updating course materials, and contributing to the intellectual and pedagogical life of the School. In addition, candidates are expected to engage in service activities that support
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knowledge of programming, including Linux, Python, and R. Candidates having background knowledge in neuroimaging, machine learning, and/or genomics/genetics are encouraged. Excellent communication and writing