2,429 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" Postdoctoral research jobs in United States
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life of the CRH, teach one course per year, and serve as the managing editor of American Religion in 100 Objects. The term of this position is two years, beginning on July 1, 2026 and ending on June 30
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conditions. 2. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. 3. May require routine work with biological samples, including recombinant proteins and
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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. This position will focus on developing and applying novel statistical methods, machine learning approaches, and AI-driven computational tools, with a strong focus on statistical genetics and genomics
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Postdoctoral Associate: Neurodegeneration – Hu Lab, Weill Institute (Research & Innovation) Postdoc Associate: Neurodegeneration – Hu Lab, Weill Institute Weill Institute The Fenghua Hu lab (https
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materials submitted by Monday, September 1, 2025. Interested applicants should submit their applications (CV, research statement, and list of publications) on https://lanl.jobs/ for the opening with Req
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researchers across learning sciences, computer science, machine learning, and education research. Research Role Research themes for the NTO Postdoctoral Associate include, but are not limited to: Developing
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of active learning pedagogy that strengthens ‘systems-thinking’ throughout the cross-college Environment & Sustainability (E&S) major. This is a full-time position, based at the Ithaca campus. We expect
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Term: 1-2 years renewable Appointment Start Date: asap Group or Departmental Website: https://med.stanford.edu/content/sm/kramsmartinezlabs.html/ (link is external) How to Submit Application Materials
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Science, Computational Biology, Bioinformatics, or a closely related field. Experience with computational modeling, statistical programming (Python, R, MATLAB), or machine learning. Experience working with large datasets