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biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms
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diseases. In this project, the candidate will develop new computational strategies to identify human genetic variation linked to cell fate changes in neurodevelopmental disorders and cancer. The candidate
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welcoming environment for children - a great place for the whole family. For further details on the city and the university please follow this link: https://international.au.dk/ . Place of work The place of
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soon as possible thereafter. Job description You will be contributing to the further establishment of a research direction that links mechanics and fracture mechanics with concepts from statistical
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, a support-staff of ~30 people, ~150 PhD-students and postdocs and around 400 students. For further information, please contact Professor, dr. scient. et techn. Bo Brummerstedt Iversen (bo@chem.au.dk
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employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Mayank Jain, maja@dtu.dk , +45 4677 4909. You can read more
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tissues and explore potential links with genetics and macromorphological characteristics. To this end, we will employ collection and analysis of tomographic data using state of the art synchrotron 3D
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, and bioinformatics to make informed decisions on data analysis and validation experiments. Dr Francavilla’s team is funded by the Novo Nordisk Foundation and LEO Foundation and focuses on regulatory
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been linked to these diseases for decades. This project aims to establish human autoantibody clones from various autoimmune diseases, with a primary focus on Systemic Sclerosis. This is with the purpose