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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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. Qualifications Applicants with experience in mixed methods, particularly digital methods, data scraping/analysis and qualitative research (Netnography and interviews) will be preferred. Proficiency in English and
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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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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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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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landmark database on 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
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, understand and analyze amicable and flexible future inter-cooperations between local communities and national authorities. Requirements The successful candidate has a PhD in Arctic Climatology, Sea-Ice