21 application-programming-android-"Prof" Postdoctoral positions at Chalmers University of Technology
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society. With unique research expertise, we offer education at the undergraduate and graduate levels, as well as within our international master's programs. The Electronics Materials and Systems Laboratory
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considered. Application deadline: August 24th, 2025 For questions, please contact: Associate Prof. Jinhua Sun Email: jinhua@chalmers.se *** Chalmers declines to consider all offers of further announcement
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Application Deadline 14 Oct 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 programme Reference Number 304--1
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must hold a doctoral degree awarded no more than three years prior to the application deadline. * Solid background in computational plasma physics and previous experience in laser plasma physics are
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degree in materials science, material mechanics and/or production engineering awarded no more than three years prior to the application deadline*. You will need strong written and verbal communication
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, mentorship, and impactful research. About us The Department of Computer Science and Engineering (CSE) Chalmers/University of Gothenburg drives cutting-edge research in machine learning and its application
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We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
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Recognised Researcher (R2) Country Sweden Application Deadline 29 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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mortality in aging populations, making this work a critical public health priority. The successful candidate will work in a collaborative environment that bridges academic research and industry application
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foundational and applied topics in computer vision and machine learning, with particular strengths in inverse problems, generative models, and geometric deep learning. We work across diverse application areas