79 post-doc-image-processing positions at Chalmers University of Technology in Sweden
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spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and inorganic materials. Responsibilities
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diagnostics, as well as general computer vision applications including autonomously guided vehicles (particularly self-driving cars), image-based localization, structure-from-motion, and object recognition
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affects qubits. At the Department of Electrical Engineering, we conduct internationally renowned research in biomedical engineering, antenna systems, signal processing, image analysis, automatic control
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work spans the entire production chain, from innovative material design and advanced processes to the characterization of materials and components. About the research project The project is an EU-level
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of these implants such that they seamlessly integrate with the surrounding tissue, while giving access to the electrophysiological signals from hundreds of neurons. In this context we have an opening for a Post Doc
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for the post-doc will be to: Evaluate the existing filters in the Gårda rain garden pilot facility for their long-term (5-year) function and removal capacities, including PFAS analyses. In-field testing of new
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development for imaging liquids and solid–liquid systems at the nanoscale. Collaborate with researchers at Chalmers and beyond, and share knowledge with the wider microscopy community. Publish and present your
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fluid dynamics and vascular modeling in microenvironments Skills in data analysis and image processing (e.g., Python, R, ImageJ) Ability to mentor junior researchers and contribute to team leadership What
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metal AM technologies covering the whole AM chain, starting from the base powder through the dedicated AM process development, tailored post-AM treatment to the final component. Building on recent
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information about doctoral studies at Chalmers here . Application procedure The application should be written in English and attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note