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code generation. Identification of relevant metrics and tests (static/dynamic) that best reflect the code quality and functional safety of ST. Determination of the optimal format for transferring
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the variation of materials. Corresponding models are developed with which the mechanical stresses of the interconnection are determined in order to identify optimizations in the process control and material
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under small temperature gradients (ΔT ≤ 30 K). Design and Optimize novel fabrication techniques to achieve high packing densities in thermoelectric generators (TEGs) for powering IoT sensor networks
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apply your knowledge in practice alongside your studies Attractive framework conditions: Flexible working hours to optimize the compatibility of study and practice If you are interested in putting your
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: 01.10.2025 | Application deadline: 31.08.2025 *extension is sought Tasks Design and conduct in vitro and in vivo experiments using gene-edited hematopoietic stem/progenitor cells Develop and optimize gene
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modeling, optimization, and/or data analytics. Description of the PhD topic (subproject C1 - New metrics for transportation system appraisal): Transportation systems must deliver “function” (i.e
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figures Further development of the IOM's controlling instruments Preparation of target/actual comparisons and variance analyses, identification of optimization potentials Monitoring of separate financial
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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) - Thesis “Optimization of CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) Reactions on Microarrays” Duration: 6 months We are looking for a talented and motivated student specializing in
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analysis tools Implementing continuous benchmarking of the library Optimization of the library algorithms and underlying data models for speed and memory efficiency Maintenance and improvement