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Field
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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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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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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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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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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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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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groups working towards a common goal. For this postdoc project, we seek a dynamic and motivated candidate with an interest in computational electromagnetism, inverse design, and/or machine learning in
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, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems and security. Job Description The successful
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 5 hours ago
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
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. Experience in Atmospheric Water Harvesting, metal organic framework modelling and machine learning is highly desirable. An ideal candidate will have a solid background in physics and chemistry, particularly in