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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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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
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are looking for a highly motivated, dedicated and ambitious candidate with: A recent MSc degree - or similar - in biology or other relevant educations like engineering, preferably with a background in
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to fundamentally revisit the way that we define and quantify the value of our built environment. This fully funded PhD project is part of a Marie Sklodowska Curie Action Doctoral Network, QuiVal, a programme funded
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and characteristics: Master’s degree in Software Engineering, Computer Science, Embedded Systems, Artificial Intelligence, or a closely related field. Strong programming and system integration skills in
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circuits for enhancing computing efficiency through parallelism. The PhD student will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15
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network, including 4 training schools and two workshops. As a participant of the project, the PhD student will become part of a team at DTU with numerical and experimental expertise in photonic computing
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computing Validate the analysis on a small scale-circuit (< 10 coupled cavities) The doctoral candidate (DC) is expected to travel to network partners under three secondments for a typical total duration of 2