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at synchrotrons Background in metallurgy and metallic materials manufacturing methods Experience with metallographic specimen preparation and electron microscopy Experience with computational modelling, either
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of mathematical derivations — checking proofs, running numerical simulations, implementing models in Python or Mathematica, researching the relevant literature. You do not need to be an expert in all areas the QBF
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or early bystander adaptations to a disturbed lung microenvironment? Disease Modeling and Biomarkers: Can we develop relevant complex in vitro models to study lymphatic dysfunction, and generate biomarkers
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Your Job: Take on specific tasks at JAIF such as trustworthy AI, training AI models, developing customized AI methods and workflows, or HPC optimization Implement and evaluate cutting-edge AI
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Description In this project, we develop machine learning models for prediction of optical properties of chiral molecules based on DFT/CCSD data which we calculate ourselves. We include derivative information by
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materials manufacturing methods - Experience with metallographic specimen preparation and electron microscopy - Experience with computational modelling, either related to materials behaviour or to X-ray
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checked for data errors and external disturbances. A wide range of data products must be generated from the raw data and supplied to international networks. In addition, we calculate traditional and new
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focuses on the resilience of the marine sinks of heat and carbon, using Earth system and biogeochemical models, observational data, and scenario analysis to identify early-warning signals and tipping points
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systems and accelerate the discovery of innovative therapies: AI-supported Mechanistic Modelling and Simulationfor Infection Research.Computational Network Sciences and AI for Biology and Health. We offer
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research is to improve the reliability of electronic components through appropriate experimental investigations and the use of numerical models, and subsequently to predict their remaining service life