2,826 computer-science-intern-"https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions in United States
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, cell biology, molecular biology, bio-computation, or biomedical engineering. Strong oral and written communication skills, organizational capacity, interpersonal, teamwork skills, be highly motivated
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to identify metabolic alterations that drive tumor initiation and progression. This work has recently expanded to examine how metabolism and autophagy influence the biology of embryonic and cancer stem cells
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 27-Mar-26 Location: New York, New York Categories: Academic/Faculty Internal Number: 183846 A postdoctoral associate
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Engineering Group or Departmental Website: https://web.stanford.edu/group/magiclab/home.html (link is external) Does this position pay above the required minimum?: No. The expected base pay for this position is
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research pipelines. Required Qualifications A Ph.D. in psychology, cognitive science, computer science, engineering, data science, or a related field (received no more than three years prior to the start
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Requisition Id 15907 Overview: The Radiation Effects and Microstructural Analysis Group (REMAG) within the Materials Science and Technology Division at Oak Ridge National Laboratory (ORNL) is
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funding. Appointment Start Date: Fall 2025 Group or Departmental Website: https://hph.stanford.edu/careers (link is external) How to Submit Application Materials: Submit all application materials
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Apply now Job no:501817 College / VP Area: College of Engineering Work type:Staff Location:Newark, DE Categories:Research & Laboratory, Full Time Curious about the full value of working at UD? In
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/Administrative Internal Number: 495732 Department: Mathematics Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization
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, neurodegenerative conditions, and other diseases. We seek candidates with expertise in one or more of the following areas: mathematical modeling, differential equations, stochastic processes, scientific computing