64 analog-design Postdoctoral positions at Technical University of Denmark in Denmark
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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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Job Description If you are motivated to guide innovation by developing new biobased processes able to contribute to a greener and more sustainable future, this is the perfect position for you. We
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symmetry in unexplored settings, the particulars are open and may encompass several directions. These directions may e.g., include inverse design of topologically nontrivial crystals or the pursuit
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–microstructure–property–performance simulation platform, and (iii) a theoretical framework for design of AM-defect tolerant microstructures. The focus of the current postdoc position will be on applying all
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in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function verification and formal
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proteomics workflows Perform imaging and omics data analysis and data integration and validate key results using functional assays in cell culture and in patient-derived samples Plan and collaborate
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equivalent) in a related field. 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
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associated with a research project jointly funded by the European Commission and Innovation Fund Denmark (IFD). It is a large European project with a consortium of 68 partners that aims at giving
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continuous-variable quantum computing using 3D cluster states and hybrid (photon number + quadrature) detection. TopQC2X (Innovation Fund Denmark): Experimental primitives for topological quantum computing
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-based simulation model for assessing future mobility technologies in the Greater Copenhagen region. Explore the development of machine-learning based scenario discovery for future mobility policy design