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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for one or more PhD stipends in the field of Protocols and methods for quantum error correction
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research on architectures and methods for the real-time delivery of EO data from dense nanosatellite/CubeSat constellations and to develop innovative GNSS-based sensing methods and AI models to detect a
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to take up the challenge of designing, developing and applying advanced X-ray imaging methods by combining experimental and computational approaches in physics. You will be working with laboratory X-ray
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The department offers modern laboratory facilities, employs advanced molecular and cellular methods, and provides a stimulating, inclusive, and ambitious research environment with excellent opportunities
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more effectively using
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of computational chemistry and develop new methodologies that push simulations into length- and time-scales that traditional methods cannot reach. You will be embedded in the Pioneer Center CAPeX, an
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-organisational responsibility for health? Research design and methods (indicative) The PhD project has a broad and flexible framing, and the successful candidate will help refine the theoretical and analytical
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, the spatial and temporal resolution of EO data. MASSIV-EO aims to overcome these limitations through foundational research on architectures and methods for the real-time delivery of EO data from dense
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structural degradation phenomena—including fatigue, corrosion, and biofouling—would also be beneficial. Experience working with Finite Element Method (FEM) tools, such as Abaqus, ANSYS, OrcaFlex, or similar
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under uncertainty”. This position is part of the ERC-funded DECIDE project lead by Professor David Pisinger. You will be responsible for developing new methods for decision support in stochastic