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programming technology-specific evaluation algorithms Publication of results by writing peer-reviewed journal articles, conference contributions and giving conference talks Your qualifications: Successfully
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Working Student: Design of RF CMOS switches for integration in 5G-FR3 RIS-based communication system
. The key milestone is to develop a suitable switch architecture (SPDT, SP4T) for integration in different scenarios of RIS-based antenna arrays. This position is to support the RF design team at CNT
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the necessary algorithms. You will also develop and document a graphical user interface which handles large processing tasks efficiently and uses multiprocessing and GPU acceleration where necessary. At the same
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required. You will work with the P61A team and our user community to identify the scientific analysis requirements and develop the necessary algorithms. You will also develop and document a graphical user
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that can be used to compare the arrangements • You select suitable algorithms to evaluate the quality of the PPG signals (machine learning, Python) What we offer We offer you a challenging and varied
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of change Engage in the research, and test the latest machine learning algorithms Analysing, preprocessing, and visualizing different data types (texts, images,etc.) Review latest literature and data
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, computer vision, pointcloud-processing or machine learning is a plus Analytical mindset and experience in algorithm development Enthusiasm for mobile robotics Fluent in English or German What you can expect
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algorithms, as well as in planning, conducting, and evaluating experiments. What you bring to the table You are enrolled in a technical degree program You have good written and spoken German or English skills
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techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics; 3-year funding to work on your doctoral project. Up to two additional positions will be funded by a DAAD
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, aiming to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. You will be part of the scientific TUM