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university deep tech startups, carry out independent, high-quality research leveraging this data, and engage with stakeholders in the Danish and international deep tech arena. Responsibilities and
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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
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of the department through research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance. Your main tasks will
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on your project, where you will receive supervision and guidance. Your main tasks will consist of: Independent research of high international quality, including publication. Preclinical studies in mouse
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You have academic qualifications at PhD level, for example within the areas of bioinformatics, machine learning or forensic odontology. We favour experience in computational data analysis, and the
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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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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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. This will be done in collaboration with clinicians, technical researchers and developers from Rigshospitalet, the University of Copenhagen and Prenaital Aps. Your primary tasks will include: Developing
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have state-of-the-art research facilities and Denmark’s only ocean- and arctic-going research vessel. The Institute has 360 employees, one-half being scientific staff, including about 50 PhD students
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evidence and applications for further funding. The successful applicant will be employed as part of a research group consisting of Professor Lasse Lindekilde (project leader/principal investigator), three