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iteratively improve both the setup and the algorithms. What you contribute Very good C++ programming skills Strong knowledge in mathematics and linear algebra Proficient English skills Precise, responsible
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity
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. Local slopes of a perturbed wavefront (for example, after propagation through turbulence) can be sensed using such a filter and a camera. From the measured slopes, the well-established algorithms used in
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Performing numerical simulations for metasurfaces Development and optimisation of analytical and numerical models for metasurfaces Documentation of the algorithms developed and results What you contribute You
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-world applications Documentation of the algorithms developed and results What you contribute You have strong background in machine learning and deep learning techniques You are enrolled in a Master's
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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