1,352 computer-science-intern-"https:"-"https:"-"https:" Postdoctoral positions in United States
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Position Title: Postdoc Social Sciences Research and Teaching Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The primary responsibilities
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
-or vice versa-who wants to grow into a scientific leader at the interface of data and biology. What You Will Do • Combine experimental and computational approaches to analyze bacterial responses
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Job Title:2026-2028 Post-doctoral Fellow - Alzheimers Disease Target Biology Location: Cambridge, MA About the Job Join the engine of Sanofis mission where deepimmunosciencemeets bold, AI-powered
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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to develop autonomous research, engage in the research group, and participate in the research program of the Lehigh ISE Department. Other responsibilities may include: Design, analysis, engineering, and
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Apply now Job no:535376 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Instruction, Computer and Information Science, Data Science Department: CAS CIS Computer & Information Science
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The Applied Materials Division (AMD) at Argonne National Laboratory is looking to hire a Postdoctoral Appointee – Materials Science. The Applied Materials Division conducts applied research
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Details Title Post-Doctoral Fellow in Chemistry and Chemical Biology (Woo Lab) School Faculty of Arts and Sciences Department/Area Chemistry and Chemical Biology Position Description The Christina
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather