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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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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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parametrization, estimate N-mineralization rates from soil organic matter content and other N-balance components support monitoring, reporting and verification of greenhouse gas emissions and mitigation efforts
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(subproject A1): This project aims to enhance smartphone-based survey methods as one component of future multi-method travel surveys, to achieve representative samples and travel estimates, to collect
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computer philology also belong to the program ALT. Thus, the program is characterized by a plurality of research methods and a wide understanding of the concept of ‘a text’. Applicants are expected to have
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therefore teams up materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH ( AMO ) in Aachen, Forschungszentrum Jülich
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, Computer Science, Artificial Intelligence, Theoretical Computer Science, Computer Engineering, Practical Computer Science Description Description The CISPA Helmholtz Center for Information Security is
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, Computer Science, Artificial Intelligence, Theoretical Computer Science, Computer Engineering, Practical Computer Science Description Description The CISPA Helmholtz Center for Information Security is
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breakage models, e.g. with stochastic tessellations Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods Lab work and collection
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dissertation topic through study of the literature and in making the objectives more precise; working on the individual PhD study project with its focus on queue estimation and traffic signal optimization in