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qualifications: A Ph.D. in Physics Applied Physics Nanotechnology Photonics Electrical Engineering or other relevant field is required. To qualify for the position of postdoc, you must hold a doctoral degree
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Railway Engineering is seeking a motivated and collaborative postdoctoral researcher for a project on developing machine learning tools for pavement management. The project is conducted in collaboration
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machine learning models in simple, standalone devices that are capable of advanced processing. Building on our work on solution-based neuromorphic classifiers (https://doi.org/10.1002/advs.202207023
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at the intersection between analytical chemistry, chemometrics and life sciences. As a postdoc in this project you will learn to use and help to develop cutting-edge methodologies linked to vibrational spectroscopy and
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at the intersection between analytical chemistry, chemometrics and life sciences. As a postdoc in this project you will learn to use and help to develop cutting-edge methodologies linked to vibrational spectroscopy and
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in environmental, industrial and medical contexts. Thus, the project is interdisciplinary and positioned at the intersection between analytical chemistry, chemometrics and life sciences. As a postdoc
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imaging technologies. Strong programming skills in at least one scientific programming language. Solid understanding of statistical methods, machine learning, and/or image analysis pipelines. Strong written
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and refined our pioneering AI-driven methods. This project focuses on improving protein structure prediction, design, quality assessment, and dynamics using innovative machine learning techniques. You
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analysis, statistical modelling, linear mixed models, and machine learning among others. The position is well suited for an individual interested in quantitative genetics and data analysis that wishes
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design, and/or machine learning in the context of integrated photonics. We are looking for someone who wishes to work theoretically in this field, while still maintaining close contact with experiments