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Field
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focused on immuno-oncology imaging and engineering, nucleic acids nanotechnology, computational biomedical imaging. We are seeking a person with preferred experience in cancer immunology, immune engineering
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to the project. Job Requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. Min 3 years of relevant experience in computer vision, artificial intelligence, etc
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 17 days ago
Physics, Optics, Biomedical Engineering, or a related field. Prior experience in biomedical optical imaging is highly valued. Additional Information Work Location(s) Number of offers available1Company
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IU Bloomington Intelligent Systems Engineering Location Bloomington Position Summary Indiana University, Bloomington Luddy School of Informatics, Computing, and Engineering Leung Research Group
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necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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4 Sep 2025 Job Information Organisation/Company Instituto Pedro Nunes Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions
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, train, and validate advanced computational models and machine learning algorithms tailored to complex datasets. Collaborate with multidisciplinary teams including biologists, engineers, and clinicians
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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for a postdoctoral position in the field of active thermography for the evaluation of composite materials and structures. The research will be conducted within the Computational Engineering & Design Group