182 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Columbia University in United States
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community. For further information about the department and our activities, centers, research areas, and curricular programs, please go to our web page at: https://www.stat.columbia.edu Qualifications PhD in
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, please email apam@columbia.edu. Applicants are encouraged to consult https://appliedmath.apam.columbia.edu for more information about the applied mathematics program, and https://apam.columbia.edu
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Deadline 1 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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department and our activities, centers, research areas, and curricular programs, please go to our web page at: https://www.stat.columbia.edu Qualifications PhD in statistics or a related field by the date
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: https://labs.vagelos.columbia.edu/hengstlab/ Responsibilities: · Will be leading an NIH-funded project that focuses on structure-function studies of Sorl1 · Designing, setting up, validating
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independently while collaborating with supervising physicians and clinical staff Other Requirements Medical clearance and participation in Medical Surveillance program required Contact with patients and/or human
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in education. Excellent interpersonal and organizational skills. Computer Skills: proficiency with MS Word programs and familiarity with Mac and PC platforms. Experience in clinical research setting
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fluency in at least one programming language (e.g. Python, R, or similar). Background in cancer biology preferred Problem Solving Works with a team to troubleshoot computational analysis Decision Making
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Responsible for onboarding staff, faculty and researchers and students. This includes scheduling welcome program, medical surveillance and UNI creation. Communication with new hires and departments to ensure
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, spectroscopy, and laser–matter interactions. Knowledge of semiconductor physics, materials chemistry, or nanoscale systems. Proficiency in scientific programming (Python, Matlab), data fitting, and signal