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Field
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industrial partners. Research activities within the Biothermodynamics group focus on the development, analysis, and optimization of innovative separation and material-processing technologies, with particular
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closed carbon cycle. Be part of change Degradation analysis of existing systems and identification of optimization potential for further development Coating of membrane electrode assemblies and their
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significantly influence the lifetime impacts of HV maritime battery systems, and how can system design be optimized to reduce these impacts? What you contribute Currently enrolled in a master's program in
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optimization of technical processes and products. The efficient solution of large linear systems of equations is a key challenge in numerous scientific and industrial applications – from numerical simulations
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with basic terms and concepts in ML (especially classification, hyperparameter optimization, fine-tuning, evaluation of models) Solid knowledge of Python is mandatory and will be tested in the interview
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optimization. Together with a dedicated partner from bioinformatics you will first survey pairs of drug discovery application problems and corresponding quantum algorithms, before you focus on promising
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to contribute to our groundbreaking research. The project focuses on enhancing RNA detection on microarrays through the development and optimization of novel biochemical strategies. Key Responsibilities: Conduct
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Lehrstuhl für Angewandte und Computergestützte Mathematik | Aachen, Nordrhein Westfalen | Germany | 8 days ago
engineering, or simulation sciences A solid background in numerical methods for PDEs is required Basic knowledge of fluid mechanics or statistical mechanics is necessary Good programming and scripting skills
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pipeline (processing, adaptation, optimization) • Tuning of parameters and evaluation of quality/performance (benchmarks, metrics, reproducibility) • Development and testing of new approaches (e.g., pre
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-critial vibrations from sensor data, enabling data-driven optimization of machining processes. You will also implemet ML algorithms for additional use cases, acceleration workflows and enhancing