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employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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PhD Studentship: Robust quantum control for quantum error correction The development of fault-tolerant quantum computing is one of the most coveted aims of quantum technology. It will bring about a
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Job Description About the MSCA project MICROSUNSET is a Marie Sklodowska-Curie Actions Doctoral Network (MSCA-DN) funded by the European Union in which we have 12 open positions for Doctoral
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for the position. Do you have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Application process
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 20 days ago
ongoing research efforts in the development of statistical 3D models of Horses. About us We are creating the world’s most realistic human and animal avatars for use in research, film, virtual reality
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About the project: Developing a Theory of the Magnetic Fingerprint of Stress in Materials Supervisor: Dr Chris Patrick, University of Warwick In the development of sustainable materials and
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About the project: Fast and Flexible Nested Sampling via Collective Move Dynamics for Molecular Systems Supervisor: Dr Livia Bartók-Pártay, University of Warwick Organic matter encompasses a range
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PhD Studentship: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution
About the project: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution Supervisor: Prof. Scott Habershon, University of Warwick Protein folding is a dynamic, complex
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About the project: Advanced Monte Carlo methods for glassy dynamics and complex materials Supervisor: Dr Michael Faulkner, University of Warwick Glasses are materials that combine macroscopic solid
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About the project: From Brittle to Ductile: Machine Learning 3D Fracture Simulations for Extreme Environments Supervisor: Prof, James Kermode, University of Warwick Develop cutting-edge machine