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- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); today published
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prof.dr. J.K. Kok. Where to apply Website https://www.academictransfer.com/en/jobs/356200/phd-in-a-resilience-oriented-ap… Requirements Specific Requirements We are looking for a highly motivated and pro
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in meetings, and have a close collaboration with industry. The study could also benefit from using real data from the industrial partners involved in the project. Where to apply Website https
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or another relevant subject. Good Python programming skills. Knowledge of data science. Experience with artificial intelligence and machine learning. A good command of spoken and written English, as you’ll be
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physics. Proven programming skills in (preferably) Fortran or Julia, or C/C++ and Python. Where applicable, a link to your open source repositories is recommended. Other valuable skills include: Experience
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open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you will contribute: in the application of the developed
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has been studying any of these topics: statistical physics, computer simulation methods, and polymer physics. Proficiency in the C++ and/or Python programming language is an advantage. Good knowledge
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, Environmental Studies, or Engineering & Policy Analysis; Knowledge of a programming language (Python, Julia, etc) and training in any of the simulation methods; Experience with (statistical) data analysis
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analysis, has good software skills (Python, C++, ROOT) and has (some) research experience in experimental particle physics. Experience with machine learning algorithms and software is desirable but not
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recommendations prior to commencement. The position is part of the NWO-funded project “VR4eVR – Virtual Reality for Enriched Visual Rehabilitation” (https://vr4evr.nl ), a collaboration of four universities and a
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program serving as a strong foundation for their future success. More information about the project can be found here https://project-react.eu/ . Where to apply Website https://www.academictransfer.com/en