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topics in semiconductor technology and power electronics. The mission of the »Modelling and Artificial Intelligence« department is to optimize processes, components and systems, including their reliability
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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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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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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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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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) - 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
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technical support of the FIB systems Active participation in international research projects in close collaboration with scientific users Co-development and optimization of new sample preparation techniques
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team and actively participate in the DIPONI project (“Digital Transformation in Polymer Processing: Interoperability and Machine Learning Solutions for Process Optimization and Sustainability
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to physical mechanisms of grain growth. Key responsibilities include: Implementing and optimizing segmentation pipelines based on MatSAM and other vision foundation models for high-resolution TEM video frames