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Field
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such as laser brazing rely heavily on expert knowledge. Setting optimal process parameters requires extensive experience, as there are complex interactions between parameters and results (e.g., seam
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on integrated memory devices and ferroelectric transistors, ensuring precise and reliable results. Data Evaluation & Process Optimization: You evaluate the obtained measurement data, identify optimization
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an existing C/C++ codebase, understand its architecture, and actively contribute to the further development of our software solutions. Algorithm Development: Research, implement, and optimize image processing
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Communication IP Cores: Independently develop optimized TSN, CAN/LIN, and RISC-V solutions in Verilog or SystemVerilog. Creativity: Conceive and implement sophisticated system-on-chip designs to actively drive
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technology—is offering the opportunity to write a thesis in the field of simulation. Join our #OneTeam and write your thesis with us in Aachen. In energy technology, laser beam welding processes are used to
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 3 months ago
establishment, optimization, and troubleshooting for robust and reproducible outcomes Computational and digital research skills, including RNA-seq data analysis, R-based statistical analysis and visualization
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Research Translation & Dissemination Collaborate with researchers and domain experts to translate scientific requirements into technical implementations Professionalize and optimize algorithms and software
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operando characterizations of solid-solid (S-S) and solid-liquid (S-L) interfaces using probe corrected scanning transmission electron microscope (STEM) and related spectroscopy techniques. Processes at Na
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contributes scientific insights and practical solutions to addressing the major challenges and transformation processes of tomorrow. Across four profile areas – "Energy Transition and Decarbonization," "Health
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: to make the world of tomorrow safer. Be part of change Implementation and application of computer vision approaches, including: object detection (e.g., using YOLO, RT-DETRv2, etc.) image classification