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Field
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Chalmers University of Technology is looking to hire a postdoc for a minimum of two years, with the possibility of a one-year extension, to work on single-nanoparticle microscopy using a planar
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of its Julia-based modeling environment, software architecture, domain-specific modules, and underlying computational infrastructure. * Prior hands-on experience contributing to the development
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
, fabrication, and evaluation of loaded MAPs with clinically relevant dosing. The project will involve integration of materials science, drug delivery, and advanced manufacturing to optimize device architecture
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, including direct knowledge of its Julia-based modeling environment, software architecture, domain-specific modules, and underlying computational infrastructure. ● Prior hands-on experience contributing
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has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical
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. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained
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10 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Other Engineering » Chemical engineering Engineering » Materials engineering Engineering
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14 Mar 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Biological sciences » Biology Biological sciences » Other Computer science » Other Researcher
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26 Mar 2026 Job Information Organisation/Company Empa Research Field Chemistry » Other Engineering » Chemical engineering Engineering » Materials engineering Technology » Energy technology
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: Design and train vision–text transformer architectures for multimodal fusion (RGB + thermal, intraoperative video, OR signals, EHR, surveys); develop temporal and cross-attention components