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multimodal foundation architectures. Full-time, TV-L E13, 100%, fixed-term for 3+ years. Position PhD Student (100%) Remuneration TV-L E13 (Fully Funded, fixed-term for 3+ years) Field Representation Learning
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Summary The Department of Electrical and Computer Engineering (ECE) at Ritchie School of Engineering and Computer Science at the University of Denver is looking to hire adjunct instructors to teach a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
with related fields, including marine biogeochemistry, physical oceanography, environmental genomics, remote sensing, ecological modeling, and/or data science (AI and machine learning). We
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clinical microbiology, public health, genetic sequencing, statistics, machine learning, bioinformatics and software engineering, with a supportive culture in which knowledge is shared. We aim to make rapid
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, Machine Learning, or related areas. - Knowledge of Large Language Models and Retrieval-Augmented Generation. - Experience or interest in Knowledge Graphs, Semantic Web technologies, information retrieval
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face-to-face, hybrid, or online delivery formats. We are seeking excellent teacher-scholars who can teach the department’s foundation courses as well as courses in the graduate program, including
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Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme Electronic and Electrical Engineering; as per November 1, 2026, or as soon as
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experience Required Qualifications: PhD in Electrical Engineering or a closely related field. Preferred: Demonstrated expertise in AI/ML, including deep learning, computer vision, LLMs, VLMs, multimodal AI
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to the IE faculty's Doctoral Programme (https://www.ntnu.edu/ie/research/phd/ ), see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Computer Science and
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with European industry. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning