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Field
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algorithms for application parallelization, simulators and virtual platforms for application- and architecture exploration, hardware/software co-design and operating/runtime systems. Typical application
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approaches for the integration with the digital twin for regenerative agriculture Perform scenario simulations and analyze simulation results Present and publish results at conferences and in peer-reviewed
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link structure-property relationships from DFT, MD, phase-field, TEM/SEM, and other multimodal datasets from simulation and experiment Develop benchmarking protocols and toolkits to evaluate AI models
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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measurements in a team of experts on and in the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. Publication of research results and
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Description The NHR Graduate School for HPC Talents 9 Ph.D. scholarships for HPC, Numerical Simulations, and AI/ML projects The NHR Graduate School seeks qualified applicants interested in pursuing
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computing to develop a continuous and local alternative to existing gradient-based learning rules, bridging theories of predictive coding with event-based control/ Simulate models of the learning algorithm
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discipline boundaries and abstraction levels is a must. Knowledge in integrated circuit design, testing and simulation using Cadence is a plus. Knowledge of digital neuromorphic hardware and sensors is a plus
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-free double perovskites Your Profile: Master`s degree in theoretical or computational physics, chemistry, materials science or similar fields Familiarity with atomistic simulations, high-performance
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groups to apply. Applications should be sent by e-mail, together with significant documents (Your application should include a cover letter, your CV, a copy/scan of your degree and course transcripts