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Field
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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
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and proficiency working with large datasets (experience working with Danish national registers strongly preferred) Experience and proficiency with data analysis and statistical modeling Competence with
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) to study atomic structures of optically excited small unit cell crystals. The project involves measurements, data reduction and structure refinement of large serial femtosecond X-ray (SFX) crystallography
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: Strong theoretical and empirical knowledge about inequality (required) Strong skills in quantitative methods with a focus on register data (required) Working with large datasets, including cross-walking
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of the project Associate Professor Mathias Hein Jessen, email: [email protected] , or Head of Department Pia Bramming, e-mail [email protected] . Information about the department may be found at www.cbs.dk/bhl
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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Experience with synchrotron X ray scattering and/or XFEL experiments. Strong skills in crystallographic and scattering data analysis, including handling large datasets. Solid understanding of crystallography
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15 Jul 2026 Job Information Organisation/Company Copenhagen Business School Department HR Service Research Field Communication sciences » Other Researcher Profile Recognised Researcher (R2
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position(s) during the APSA meeting, please contact Professor Mogens K. Justesen by e-mail ([email protected] ) no later than August 28, 2026. Further information For further information about the project
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with industrial partners worldwide. You can read more about the department at www.es.aau.dk. Your work tasks You will be part of the ICaRUS project (Integrated e-Calcination and CO2-Removal Utilizing