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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 11 hours ago
macromolecular dynamics, as well as collaborations with the European MDDB initiative. The candidate will develop new graph transformer architectures to learn conformational heterogeneity from molecular dynamics
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. You develop teaching methods in line with the KU Leuven approach of research-based education with an emphasis on activating students (see http://www.kuleuven.be/english/education/education-at-ku-leuven
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will play a significant role in supporting all aspects of a competitive Division I volleyball program, including on-court coaching and player development, scouting and analytics, recruiting, and day-to
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at https://apply.interfolio.com/181843 . Questions regarding the search may be directed to Hannah Lau, Search Committee Chair, at hxlau@hamilton.edu. Our review of applications will begin on March 15, 2026
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study development, data collection and analysis, and dissemination of research findings. They will develop and teach an undergraduate seminar one semester each year in their area of expertise. They will
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Posting Details I. JOB OVERVIEW Job Description Summary: University Advancement is seeking an Assistant Director of Development, Corporate Relations who reports to the Executive Director of
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are the development of catalytic reactions for organic synthesis, and the development of catalysts for light- and electricity-driven separations. This individual will be responsible for chemical synthesis and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
inform observable macroscopic properties as part of the activities of the UNC Superfund Research Program (SRP) (https://sph.unc.edu/superfund-pages/srp/). This work involves running, developing, and
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Functions and Responsibilities: Remains informed of current developments and procedures pertinent to duties; participates in staff development activities; attends meetings, conferences, and other events
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many genetic mutations "uninterpretable" in clinical settings. Our project will develop an artificial intelligence approach capable of predicting, for each mutation and each cell type, its impact on