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; project management, CAD tools, prototyping, machining, assembly, integration, testing and operation of custom-built instruments. Scanning Tunneling Microscopy Including Spectroscopic Imaging, Josephson and
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spectroscopic or imaging techniques. It holds potential for advancements in materials science, biomedical research, and beyond, offering new insights into thermal processes at microscopic scales
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 14 days ago
. The students will work closely with experts on healthcare data, AI/machine learning, computer vision, and big data processing Duration: The research fellowship(s) will have the duration of 3 months. It’s
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will join the Molecular Imaging and Radiobiology team
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, including preparing and maintaining documentation for ACGME, RRC, ADS, CCC, PEC, and institutional requirements. Monitors compliance with program and institutional policies, accreditation standards, and
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 11 days ago
11 Mar 2026 Job Information Organisation/Company Sorbonne Université SIS (Sciences, Ingénierie, Santé) Research Field Technology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4
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Montpellier UAR3426 is a research support unit comprising 18 technological platforms from the Biology-Health. The Montpellier Preclinical Imaging Platform (IPAM) at BioCampus performs non-invasive ultrasound
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The Program in Computing for the Arts and Sciences (PCAS) is looking to hire one (1) GSI in the fall 2026 term to manage undergraduate instructional aides (IAs), grade, and lead lab sections for faculty
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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