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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
developing the next generation of living building materials for sustainable construction? Join DTU Construct as PhD candidate and contribute to pioneering research at the interface of materials science
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
Do you want to launch your scientific career by developing the next generation of living building materials for sustainable construction? Join DTU Construct as PhD candidate and contribute
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The Section for Structures and Safety at DTU Civil and Mechanical Engineering Department is looking for an ambitious, motivated and skilled PhD student eager to dedicate three years
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Offer Description The Section for Structures and Safety at DTU Civil and Mechanical Engineering Department is looking for an ambitious, motivated and skilled PhD student eager to dedicate three years
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We are offering a 6-month Research Assistant position and 3-year PhD fellowship in Structural biology and Protein/Vaccine design commencing 15 September 2026. Background The Novo Nordisk Foundation
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The project is based at the Department of Drug Design and Pharmacology and connected to the Center for Pharmaceutical Data Science Education (CPDSE). The group has broad expertise encompassing structural
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accordance with the Ministerial Order on the Appointment of Academic Staff at Universities and the Ministerial Order on Job Structure for Academic Staff at Universities. Furthermore, your terms of employment
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analytical technique to study protein structure. The Protein Analysis Group in the Department of Pharmacy has internationally-recognized expertise in the analysis of protein higher order structure using MS
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The Biological Chemistry section at the Department of Chemistry invites applicants for an externally funded, three-year PhD fellowship within structural enzymology and time-resolved crystallography
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. For example, in the anomaly detection setting, we often assume that only healthy images are available during training. Using this, we wish to learn the appearance and structure of healthy anatomy and detect any