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, announces a competition for the position of an Assistant Professor. Position details Position title Assistant Professor Specialisation: systems, programming languages, machine learning Organizational unit
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Koç University, Dept. of Computer Engineering Position ID: KU-Dept. of Computer Engineering-COMP2026 [#31527] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Istanbul
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are seeking an experienced and highly skilled Data Scientist with a strong foundation in genomic biostatistics to join our team. This role involves leveraging advanced statistical methods and machine learning
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will be considered). • Teaching Experience: Demonstrated experience teaching undergraduate courses, including core data science topics such as statistics, data visualization, and machine learning
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 days ago
machine learning, 3D visualisation and real-time images (augmented reality). The main robot will the Tiago++, by PAL Robotics, which is a modern omnidirectlonal, bimanual robot. With the help of a PhD
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of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 . The University of North Georgia, a regional multi-campus institution and premier senior military college
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: 10.1101/2025.09.08.674950), and AI/machine learning. We work closely with clinicians to translate our findings into clinical practice, focusing on genomically complex sarcomas and haematological
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(pre-processing, filtering, feature extraction in the time, frequency, and time-frequency domains). Development and validation of machine learning and deep learning models; integration and analysis
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positions by providing valuable experience, skills, and mentorship. Faculty Fellows teach two undergraduate courses each year relevant to their scholarly interests and experience, conduct research and
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time