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Field
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(completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative modelling (diffusion
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must have completed their doctoral degree less than five years ago at the time of starting in the position (a net period of time, which does not include parental leaves, military service etc.). good
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of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking
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. Applicant(s) should possess a Ph.D. degree, or equivalent, in biological or computer sciences or a related discipline. Experience in any of the following fields, including 1) biological image acquisition
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Interaction, Educational Technology, Learning Sciences, Cognitive Science, or a closely related field. Job Description: The University of Florida (UF) is accepting applications for a full-time OPS Postdoctoral
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Location: Cambridge, Massachusetts 02142, United States of America [map ] Subject Areas: Biology Artificial Intelligence Machine Learning Appl Deadline: (posted 2025/09/30, listed until 2026/03/30) Position
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-analysis, regression modelling, machine learning). You have a solid basis in at least one common high-level programming language (e.g. R, Python). You enjoy collaborative research in international
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design, and/or machine learning in the context of integrated photonics. We are looking for someone who wishes to work theoretically in this field, while still maintaining close contact with experiments
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motivated post-doctoral associate with a strong background in control systems and machine learning to join the research team of Prof. M. Umar B. Niazi. The position focuses on the development of digital twins
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electrical or computer engineering; and physics and electrical engineering, are also offered in the college. Post-baccalaureate certificate programs in environmental studies, applied statistics, and geographic