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-tolerant, optimal and distributed control, robustness and uncertainties adaptive control and autonomy. Interdisciplinary and application driven research is very welcome. Teaching responsibilities include
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Your Job: Development of a physical solid-state cathode model and simulation of cathode performance Mathematical optimization of the model parameters using laboratory measurements Preparation and
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. computer science, data science, bioinformatics or a related field or in the natural sciences At least 3 years of professional experience in the planning, implementation and optimization of complex IT
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team at the design level. What you will do Voltage-controlled oscillator and phase shifter design: You design and optimize a voltage-controlled oscillator and phase shifter leveraging BEoL-integrated
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infrastructure automation and management via Ansible Contribute to the development of custom Transformer-based models for behavior detection, segmentation, and tracking Help optimize training and deployment
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of innovative products. We develop new machines and machining strategies on behalf of our customers, optimize existing production facilities, and implement future-oriented tool concepts. Our core competencies
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management of factory operations. In the Virtual Product Creation business unit at Fraunhofer IPK, we develop innovative approaches for model-based systems engineering (MBSE). Our focus is on optimizing
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scientists. We seek to appoint an expert in the research area of Machine Learning for Sustainable Processes and Materials with a focus on data-driven methods for modeling, analyzing, and optimizing complex
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of error mitigation and error correction primitives. Thereby, the applications of quantum computing that this group is working on is diverse, ranging from various machine learning methods over optimization
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and manufacturing technologies for the manufacture of innovative products. We develop new machines and processing strategies on behalf of customers, optimize existing production systems and implement