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% more efficient than current technologies, using 30% less raw material and energy, and nearly fully recyclable. Responsibilities and qualifications As a valued member of our team, your insights and
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implied, the RIGOLETTO project will prepare the way for further exploiting the potential of RISC-V ISA (instruction set architecture) as a key technology to address the demands in the context of future
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of the rules defining the T cell immunogenicity of the HLA antigen presented peptides remains very limited. This greatly limits the applicability of current antigen presentation (in-silico and
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shared with about 400 highly skilled and motivated colleagues, with interdisciplinary backgrounds from meteorology, electrical and control engineering and data science all the way to humanities
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separate job advert “Postdoc in advanced reconstruction algorithms for time-resolved nano CT of sustainable cement ”) Research and teaching efforts at a section and departmental level as appropriate and
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for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment
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). We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an
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in light with laboratory and field data Supervise BEng/MSc students Contribute to relevant teaching tasks Write scientific publications and attend conferences Contribute to the dissemination of results
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. Qualifications: You should have (or be close to achieving) a PhD degree. Background within computational methods for inverse problems, ideally tomography. Experience with development of numerical implementations
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equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an