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PhD in biomedical engineering, dentistry or relevant field a developing network of academic, industry and professional partners and stakeholders a developing research profile in biomedical engineering
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, and multiomics experiments that probe islet cell transcriptional networks. Drive data acquisition and analysis (e.g., RNA-seq, ChIP-seq, functional assays) and co-author publications. Disseminate
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September 2026. You work in the field of quantitative social science and will have the opportunity to work in a team with interdisciplinary and international networks, while further developing your own
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succesful candidate has the following qualifications: An PhD degree in either applied physics, chemical engineering, mechanical engineering or a similar field Profound knowledge of thermodynamics and/or fluid
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companies writing scientific publications in peer-reviewed journals acquiring and implementing third-party funded projects. Other responsibilities include mentoring and supervising PhD students, Bachelor’s
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Ph.D. or other terminal degree in relevant field Preferred Qualifications PhD in Mathematical Economics and Social Science Candidates should have experience in at least one of the following areas
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community engagement, with a strong focus on responsible, equitable, and real-world applications of emerging technologies. The project is led by Junghwan Kim, PhD, MUP, Assistant Professor in the Department
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interconnected infrastructure networks you build and maintain databases of adaptation measures and evaluate their effectiveness using quantitative methods you collaborate closely with infrastructure operators
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. The details of the work plan may be adjusted depending on the profile of the preferred candidate; there is budget for support in technology development. You will work closely with a PhD researcher at the German
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, “the National Health Data Science Sandbox”, a network of data scientists and researchers across five Danish universities building training and research infrastructure. Your competencies You must have