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Field
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methods, e.g. Monte Carlo, Latin Hypercube sampling, to quantify uncertaintyIdentify influential parameters to support robust monitoring designUse two well-monitored landslides as benchmarksDevelop OED
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computational mechanics, applied mathematics, physics, computer science, biomedical engineering or a related field Good knowledge of numerical methods and finite-element analysis Solid programming skills in C
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Digital Twins: You will use numerical tools, including COMSOL and the open-source HemoCell simulation package, to model cell-scale thrombus formation. Experimental Validation: You will not just code; you
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: Atmospheric AI Modeling and Forecasting This PhD position focuses on developing AI models that integrate real-time satellite communication signals, GNSS -based atmospheric observations, and numerical weather
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, numerical methods, or Geant4 / Monte Carlo simulations. Proven experience in scientific software development using C/C++, Python, MATLAB, CUDA, and/or other relevant programming tools. Demonstrated ability
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international research contexts Your Profile: Excellent Master’s degree in mechanical engineering, energy systems, computational engineering, or a related field Strong background in numerical methods and applied
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or other large-scale biological data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, focusing on single-cell
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workflow for the analysis of single-crystal diffuse scattering. In this project, you will have the opportunity to contribute towards reaching this challenging aim. Your tasks include: Deducing numerous
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variables, both historic and future, is also an essential ingredient to move past the rear-mirror approach of standard classical forecasting methods. The project will focus on the use of transformer based
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so