62 electronics-"https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral research jobs in Sweden
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-like electronic materials could be built from two of the most abundant elements on Earth? We are looking for a postdoctoral researcher to lead the experimental side of that effort. About the project We
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applications sent by email will not be considered. Contact details to references will be requested after the interview. We welcome your application no later than October 15, 2026. For questions, please contact
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Engineering, Computer Engineering, Mechatronics Engineering, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering or other related subjects. Experience working on experimental
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subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
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related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both
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qualifications Publications at top machine learning or computer vision conferences (NeurIPS, ICML, ICLR, CVPR, AISTATS etc.) are highly meriting. Expertise in Bayesian methods, generative models, multimodal models
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analyses. The postdoc will be hosted at TDB, co-supervised by both groups, and will work at the interface of scientific computing, machine learning and particle physics. Project description Searches for dark
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, automation, autonomous systems and industrial digitalisation. Links: Geometry Assurance & Robust Design: https://www.chalmers.se/en/departments/me/research/product-development/geometry-assurance-robust-design
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electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University Registrar
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https