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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
laboratory prototype toward a clinically validated, manufacturable device. The postdoc will: Design, build, calibrate, and maintain wearable multi-wavelength optical sensors, including the optical front
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Manufacturing and Machine Industry theme of the Aalto House of AI , led by Professor Ville Kyrki. The theme brings together robotics, machine learning, and electrical and mechanical engineering to work on
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: Geophysics Appointment Start Date: The start date is flexible, from as early as October 1, 2026 to as late as fall 2027 Group or Departmental Website: https://geophysics.stanford.edu/ (link is
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assignments in engineering programs and master's programs. More information is available on our website. (https://kemi.uu.se/angstrom/?languageId=1).About the positionApplications are invited from
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Postdoc in AI-driven design of environment-responsive antibodies and nanobodies - DTU Bioengineering
Job Description Are you interested in using machine learning to design proteins that respond to their environment and control biological function with high precision? We are looking for a postdoc for
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Post-doctoral fellow in AI-based design of de novo protein biofilm systems Login and apply Lunds universitet Lund University was founded in 1666 and is repeatedly ranked among the world’s top
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) English (United States) MY PROFILE / LOGIN > More Search Options Loading... Clear Create Jobalert Apply now » City: Aachen Date: Aug 28, 2026 Thesis: Design and Characterization of Virtual
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Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment
Vacancies Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment To vacancy overview Apply now BMS PostDoc Postdoctoral researcher (17 months): Ethics
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), the creation of explainable AI methods to interrogate scientific datasets, and the design and implementation of mechanistic models of biological processes that work together with contemporary machine
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Mathjobs.org | 21 days ago
families of algorithms for cryo-electron microscopy (cryo-EM) and broader applications in data science * Protein structure prediction: Combining traditional and machine learning approaches to protein