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), machine learning algorithms, and perception methods can improve the autonomy, robustness, and precision of robotic manipulation in challenging environments. The project lies at the intersection of control
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applications to medical data. The project will combine theoretical work on multiparameter persistence with the design and implementation of algorithms for medical image analysis. The successful candidate will
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the necessary optics. Develop real-time MIMO DSP algorithms (implementable on FPGA) for crosstalk mitigation in the multicore fiber. What you contribute Outstanding scientific Master's degree in electrical
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for long-range drone flight. Specific duties include: Designing analytical models, flight planning algorithms and control software for long-range drone operations. Designing and implementing the autopilot
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of battery and hydrogen storage during Dunkelflaute periods. The developed algorithm will be first test in the hardware-in-the-loop environment developed together with the other partners. After that, the same
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, sustainable, and scalable artificial intelligence technologies. The successful candidate will develop novel algorithms and system-level innovations that significantly improve the energy efficiency
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. - Applied Mathematics and Statistics: Knowledge of statistical methods and algorithms for data analysis, including model fitting, regression, and sensitivity analysis. Expertise - Scientific Collaboration
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Video Analytics related work, such as object detection, visual object inspection. Creation of large-scale datasets for research and algorithm evaluation Be part of a research team in the execution
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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and make energy use more efficient. We develop novel optimization methods, Machine Learning algorithms, and prototypical Energy Management systems (EMS) controlling complex energy systems like buildings