38 computer-vision-and-machine-learning Postdoctoral positions at Chalmers University of Technology in Sweden
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Documented experience with nanofluidics Documented experience with advanced optical microscopy/spectroscopy Documented experience with catalysis/photochemistry Documented computer programming skills using
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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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postdocs. Research areas include wireless communication, optical communication, coding theory, information theory, and machine learning. We value diversity and believe that a mix of backgrounds and
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to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning
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” combines material modelling, computational mechanics and parameter identification. Join us in exploring this exciting field of research with opportunities for interdisciplinary collaboration with
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5 Feb 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Informatics Technology » Safety technology Researcher Profile Recognised
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
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Researcher (R2) Country Sweden Application Deadline 31 May 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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, computer science, or similar topics. Experience with optimization, data-driven or machine-learning skills are meritorious. The candidate must have the PhD degree in hand before enrollment, but it is not required
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passive and active flow control algorithms, potentially incorporating machine learning/AI, to enhance aerodynamic performance and stall delay with rapid response times. The research is conducted in