2,418 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" Postdoctoral positions in United States
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upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available
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. Were seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modelingintegrating first-principles simulations with machine learningfor chemical and
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collections is expected. Applications should be submitted through Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/31588 . A complete application includes the following material: Curriculum vitae
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(dark matter, baryogenesis) and machine learning applications in these topics. The University of Oregon also has an experimental high energy physics group involved in the ATLAS experiment at the LHC and
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of the Vertebrate Genomes Project (VGP, www.vertebrategenomesproject.org ), and also a main hub of the Earth BioGenome Project (EBP, https://www.earthbiogenome.org ) and a hub for innovation in high
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that make life better?from alternative energy to better food safety to breakthrough medical and environmental applications achieved through rare isotope research.We teach. We explore and we discover. We
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. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is
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. Candidates with a strong commitment to interdisciplinary research are especially encouraged to apply. Applicants should apply at: https://www.princeton.edu/acad-positions/position/39183 and include: *A cover
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Radiation Oncology Postdoc Appointment Term: 1-year term with possible extension Appointment Start Date: November 1, 2025 Group or Departmental Website: https://kalbasilab.org/ (link is external) How
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large sample libraries; performing in-depth analysis of proteins, peptides, and small molecules in beef and pork products that vary in consumer quality; and applying machine learning techniques to predict