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Vision Center (CVC, https://www.cvc.uab.cat ) is a center with over 150 persons, working on machine learning and computer vision research for more than 30 years, placed at the Universitat Autònoma de
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identification framework. The role involves developing a species-agnostic computational pipeline that integrates cutting-edge deep learning methods - such as AlphaFold2 and FoldSeek -to enhance protein function
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The Vietnamese-German University (VGU) is seeking up to two highly qualified full-time lecturers in Deep Learning and Generative AI. Candidates must hold a Ph.D. in this field or a closely related
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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6 Mar 2026 Job Information Organisation/Company Università di Pisa Department Dipartimento di Matematica Research Field Mathematics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 23 Mar 2026 -...
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Europe Marie Skłodowska-Curie Actions Doctoral Network (MSCA DN) COMBINE. The successful candidate will undertake research on: Deep learning for solidification in multiphase flows with radiative heat
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28 Feb 2026 Job Information Organisation/Company Università di Pavia Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 30 Mar 2026 - 12:00 (UTC) Country Italy Type of...
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This is a unified application form for all positions in the Beyesian Deep Learning group at KAUST led by Prof Maurizio Filippone, including Research Intern MS/PhD Student PhD Student Postdoctoral
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. This is indeed what AIC, BIC, MDL and MML would anticipate. And yet deep learning methods can often work despite this. This project investigates how deep learning can survive over-fitting and whether
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Leveraging Large Language Models, Recommendation Systems, and Interpretable Deep Learning for Firefighter Safety and Decision Support NIST only participates in the February and August reviews