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package within the core research program of CropXR. Our goal is to develop computational methods to translate integrated simulation models of plant responses to stress (drought, heat) from a model plant
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
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communication skills are encouraged to apply. A MSc degree (or equivalent) in Mechanical Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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the International Continental Scientific Drilling Program (ICDP) and aiming to study the icehouse–hothouse transition during the Permian (299–252 million years ago) and extreme continental climate states. Key
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numerical simulations (matlab/python/mathematica). Key Requirements: • Hold a Master's degree (Bachelor's degree will also be considered) with outstanding performance in Physics or related fields from a
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operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer
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fund research in resources technology and/or critical minerals and to deepen connections with industry. The areas of focus for the Resources Technology and Critical Minerals Trailblazer Program include
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to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
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degree / double degree programme Yes Description/content The statistical physics of complex systems is a very broad field ranging from the study of quantum phenomena to the conformational behaviour