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THIS POSITION is based at the CoSAXS beamline, a SAXS/WAXS beamline at MAX IV, catering to a broad user community in Soft Matter and Life Science. . For information on the beamline, see: CoSAXS
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develop the techniques and instrumentation, which are used by researchers from magnetism and chemistry to biomedical and environmental science. For information on the beamline, see: SoftiMAX Description
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within the Data Science & AI division (DSAI). With 30+ nationalities and strong industry/academic ties, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences
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analyse their data. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the
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Dr. Joao Duarte. You will have access to state-of-the-art facilities across the faculties of medicine, science, and engineering, as well as access to the national infrastructures required
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radioisotopes to track sources and ages of different carbon components. The postdoc will lead the acquisition and analysis of aquatic water chemistry data, collected in different Arctic settings such as northern
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of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. More information about the total announced post-doctoral positions within in
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
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for this project The selected candidate must have: A PhD in Chemistry, Physics, or other fields deemed relevant to the project, with experience in at least one of the analytical techniques described in the project
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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality