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this project, we will develop neural diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also
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. The funding body is the Novo Nordisk Foundation. In parallel with research, you have the opportunity to take part in innovation activities with Copenhagen Microsystems , and this could be up to 20% of your time
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) and geochemical speciation calculations (such as with PHREEQC or a similar code). We are running several projects in parallel, ranging from fundamental investigations of mineral-water-gas properties
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leads JWST programs and has had multiple proposals accepted from our group (GO 2420 , GO 3730 , GO 7675 ). Through international collaborations, we are also deeply involved in several other JWST programs
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part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be
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estimation. Performing experiments to investigate synthetic samples, field samples, and samples from other projects in the program. This will require a well-established connection to other projects. Co
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scanning program and a post-processing program. The software architecture and programming approach for a suitable implementation in a clinical scanner must be described during the project. The clinical
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for tomography reconstruction and analysis. To perform these tasks, we expect you to have: A strong background in X-ray tomography (synchrotron or lab-based) or other 3D imaging techniques. Solid programming
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to apply. Strong programming skills, expertise in spectroscopic data reduction and analysis, and a demonstrated ability to work independently and collaboratively are highly valued. Flexibility and self
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background in thermodynamics and phase behavior of complex mixtures Excellent programming skills (e.g., Python, C++, Fortran, or similar) Experience with COSMO-based methods, including parameterization, model