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central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with
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curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in
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, Apply foundation models to analyze medical imaging data. Develop probabilistic deep learning models to capture temporal patterns in chronic disease progression and treatment response. Ensure model
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Science and Engineering seeks a Postdoctoral Research Associate to conduct experimental research on superconducting and magnetic quantum materials. The research will emphasize thin and ultrathin films
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and solid-state qubits, as a foundation for distributed quantum computing. You will help build and operate two experimental platforms, laser-cooled neutral atoms and rare-earth-ion-doped crystals, and
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27 Jun 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Language sciences Researcher Profile Established Researcher (R3) Application Deadline 12 Jul
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States of America) Sponsorship Available: No Institution Name: University of Arkansas, Fayetteville Founded in 1871, the University of Arkansas is a land grant institution, classified by the Carnegie Foundation among the nation’s
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Dhabi seeks to recruit a highly motivated Post-Doctoral Associate to work on topics in the theoretical foundations of data science and AI. Responsibilities: Conduct research on automated reasoning and
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transport model (CTM). These geospatial inputs and information will be used to fine-tune a NASA foundation model (Prithvi WxC) to emulate CTM processes, and to predict ground-level air quality data (e.g
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simulation-experiment integration for disordered materials. CENSEMAT The Center for Sustainable Energy Materials (CENSEMAT) is a Center of Excellence funded by the Danish National Research Foundation and based