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science » Computer systems Computer science » Modelling tools Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 May 2026 - 23:00 (Europe/Paris
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architectures for TTS and ASR Entrenamiento de modelos a gran escala utilizando frameworks modernos de deep learning / Training large-scale models using modern deep learning frameworks Publicaciones en
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contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in
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to their existing curriculum in machine learning, data science, and computational modeling of cognition. Our priority is to attract candidates who are strong in relevant technical areas and who can teach Python-based
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16 Mar 2026 Job Information Organisation/Company IMT - Institut Mines-Télécom Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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experience aligned to the goals of at least one of the Centre for Data Science and AI’s with commensurate output. E2 Substantial experience in machine learning and AI, including experience in machine learning
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Lecturers are non-tenure track teaching faculty members who are hired on multi-year appointments with the expectation of renewal and promotion. We are seeking candidates who can teach large master’s level
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
the collective bargaining agreement. The salary range for this position is $72,000 - $154,600 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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systems for large-scale news and media data Multimedia information processing, retrieval, and verification Trustworthy, explainable, and robust intelligent systems Forensics, provenance, and authenticity
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for