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. Computational modeling and data-driven analysis will be used to guide material selection, molecular design, and performance optimization. Experimental input will be limited and used selectively for validation
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/ 40.000 DKK. Funding for technical and personal skills training and participation in international research events. You will develop both theoretical and applied work as you will be in close contact to real
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/ 40.000 DKK. Funding for technical and personal skills training and participation in international research events. You will develop both theoretical and applied work as you will be in close contact to real
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virtual screening, generative machine learning (ML) models, and automated reaction exploration to gain insights into complex chemical systems. This is an opportunity to work at the forefront
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PhD work is aimed at identifying enzymes and reaction criteria for degradation of wind turbine materials and notably assessing new ways of boosting the action of redox enzymes on synthetic polymers
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work in close collaboration with researchers at DTU and the University Hospital Zurich. You will be based at DTU Nanolab, where we conduct cross-disciplinary research and apply micro- and nanotechnology
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devices Optimization of waveguides for photon pair sources Design and characterization of sources of entangled quantum states. SiCPIC PhD student Qualifications Candidates must have a two-year master's
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Do you want to work with glass materials for reliable and circular power electronics? And do you see yourself as a team player who is strong in collaboration? If yes, we look forward to reading your
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the electrical-thermal-mechanical behaviour of different integration and packaging technologies and to assess their impact on system performance and circularity trade-offs, including design optimization. Proof
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performance PhD enrolment: Technical University of Denmark DC7: High-resolution waste-derived novel biotechnology feedstock-host background data generation to enable sustainability assessments PhD enrolment