36 machine-learning-and-image-processing Postdoctoral positions at Chalmers University of Technology
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The Department of Physics at Chalmers University of Technology invites applications for a postdoc position targeting machine learning in optics. In this position, you will become part of a
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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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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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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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measurements from real projects, statistically analyse them, and conduct experiments with modern machine learning techniques and generative AI. A strong background in software engineering as well as some
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skills and experience with computer codes for solving the nuclear many-body problem are considered meritorious. *The date on your doctoral degree certificate is considered the official date of completion
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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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considered the official date of completion. Exceptions to the three-year eligibility limit may be made for documented circumstances such as parental leave, sick leave, or military service. The following
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for documented circumstances such as parental leave, sick leave, or military service. What you will do As a postdoctoral researcher, you will Establish a DORIS data processing and analysis center using the CNES
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for the doctoral degree. Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service. The following experience will strengthen your application