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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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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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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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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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and improved platforms for quantum computation and communication and thus strengthen U.S. leadership in QIST. This calls for expertise across disciplinary sciences – encompassing quantum information
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. This calls for expertise across disciplinary sciences - encompassing quantum information theory, physics of quantum materials - to develop new design principles for scalable, fault-tolerant quantum computing
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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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of computational biology, Genomics, machine learning, and data science, contributing to the development and evaluation of advanced algorithms for analyzing large-scale biological datasets. This role is ideal
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Biomedical Engineering, Electrical Engineering, or a related fieldStrong background in MR physics Proficiency in computer programming Excellent written and oral communication skills Demonstrated ability
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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