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on bipolar plates. The internship focuses on the algorithmic evaluation of camera images. Your tasks will include researching and prototypically implementing the evaluation algorithms, as well as designing
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/@signalprocessingunioldenbu1018 ). Your tasks conduct research on the use of foundation models for real-time sound processing algorithms suitable for hearing aids (e.g., acoustic scene analysis, noise reduction, speaker separation
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robot using a robotic hand as an end effector. Core goals are generating robust grasp poses for a cube part with e.g. a learning-based algorithm, extending a heuristic-based search algorithm
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years of relevant professional experience outside of academia in the area of generative algorithms for visual media. You have extensive experience in developing algorithms for AI-assisted media production
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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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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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EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites | Darmstadt, Hessen | Germany | 2 days ago
; Lead the functional analysis, the definition, the prototyping and the scientific evaluation of algorithms used in the level-1 and level-2 processing chains for current and future EUMETSAT satellite