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profile Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Physics, or related fields. Experience: The ideal candidate should have some knowledge and experience in a
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its subsidiaries are one of the largest employers in the region. Our clinics and institutes stand for high-quality patient care, excellent research, modern teaching and transfer of innovative technology
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on cancer metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as
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. Collaborate with people with diabetes, diabetologists, software engineers, and clinical psychologists to develop and validate prototype tools. Contribute to qualitative and mixed-methods research to ensure user
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, traditional risk prediction models like the Steno Type 1 Risk Engine fail to account for the immunological dysregulation inherent in T1D. Project Objective The PhD candidate will primarily focus on the clinical
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materials, (7) Organic materials, (8) Biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. Research Environment Support up to 10 million yen depending
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its subsidiaries are one of the largest employers in the region. Our clinics and institutes stand for high-quality patient care, excellent research, modern teaching and transfer of innovative technology
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- Doctoral School of Natural Sciences and (Bioscience) Engineering (NSE)
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accomplishments (in particular quality of thesis, but also publications, code repositories, conference presentations, outreach activities, etc.). Be interested in working in a multidisciplinary and international
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the master’s thesis project and current progress shall be included. The summary can, at most, be five pages, including figures and references. Your GMAT (or GRE) and TOEFL/IELTS test scores if available