410 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions in Switzerland
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for diverse applications in the field of bio- and nano-technology. For this position, a project on the synthesis of imaging probes, targeting peptides and therapeutic molecules and covalent functionalization
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, molecular engineering, manufacturing and marketing. For HydroCow, we are building on an earlier developed ultra-high-throughput screening platform that allows for the rapid identifying of improved industrial
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100%, Zurich, fixed-term Design++ is the Center for Augmented Computational Design in Architecture, Engineering and Construction (AEC) at ETH Zurich. The center's vision is to remove collaboration
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National Center for Tuberculosis and Lung Disease in Georgia, who will validate the technology in patient samples and perform a small pilot study. This will provide the student with the opportunity to travel
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patient treatment. We (boecklab.com) are looking for a scientist who will define the computational backbone of this programme.
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This computational project will employ calculations based on density functional theory (DFT) and extensions of DFT, such as DFT+U and DFT in combination with dynamical mean-field theory (DMFT). It is
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-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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, molecular engineering, manufacturing and marketing. For HydroCow, we are building on an earlier developed ultra-high-throughput screening platform that allows for the rapid identifying of improved industrial
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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problems in scientific or engineering domains using proprietary/real data (beyond public benchmarks), where challenges like distributional generalization, multi-objective trade-offs, causality, privacy