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increasingly important, but also more complex, due to rising demands on performance, precision, quality, and sustainability. Bayesian optimization (BO) - a special machine learning approach - represents a
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objects. Different acquisition devices are used depending on the object properties and quality requirements. Using a special hyperspectral camera, a material behavior acquisition device is extended from
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Your Job: The focus of this Master Thesis is the development of an optimization to minimize energy consumption in an existing model of non-road mobile machinery (NRMM). Optimization opportunities will be explored for various powertrain configurations, including conventional internal combustion...
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and reduction Development and application of big data analytics for large X-ray data sets Application of Bayesian methods to X-ray data Combinatorial analysis of various data from complementary
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Bayesian belief networks; Experience in scenario development approaches, e.g. SSPs; Experience in the application of R-based analytical tools for qualitative or semi-quantitative modelling, incl. RQDA
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sampling algorithms to Bayesian learning paradigm Quantum-assisted training algorithms for sparse machine learning models. What you bring to the table Formal conditions to start a master thesis on a German
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of permanently removing CO2 from the air. The DACStorE project investigates three technologies: low-temperature, high-temperature, and electro-swing DAC. The specific research objectives are to: Conduct a
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of individual E. coli strains will be investigated. The objective is to characterize metabolic interactions between E. coli isolates in the gastrointestinal tract, utilizing, among other methods, larvae
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”, “Biodiversity Genomics”, and “Solution Labs”. Objectives include the transformation of natural history collections and data bases into the digital era, studying biodiversity from the genome to the ecosystem
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traditional and new ocean modelling approaches with the final objective of delivering: (i) coordinated and harmonized multi-model datasets of high-resolution decadal and multi-decadal scenario simulations