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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
. Our focus areas include drug delivery, cell mimicry, and tissue engineering. Learn more about our work: www.healthtech.dtu.dk/3bs . About the project: Artificial red blood cells Blood transfusions
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track records in innovation and technology translation, demonstrated by patent application or licensing. Exceptional collaboration and communication abilities with the ability to work effectively in
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degree with an academic level equivalent to a two-year master's degree. You should have a degree in chemistry or chemical engineering and a very strong background in experimental organic chemistry
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The Process and Systems Engineering Center (PROSYS) at the Department of Chemical and Biochemical Engineering, Technical University of Denmark (DTU), is seeking a highly motivated and skilled
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statistical methods for modelling and data treatment engage in teaching, innovation and advisory activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching
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Applied Chemistry, Bioengineering, Mechanical Engineering, Archaeology, or Cognitive Science. Challenge Scientific and Technological Innovation through fusion of disciplines The Graduate School of Frontier
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of microbiology and laboratory automation. We are looking for a highly motivated PhD candidate with a strong engineering mindset and a keen interest in AI, automation and microbiology. Prior experience in
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the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation. The application must be in English and include a curriculum vitae, degree certificate, a
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Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets