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with mathematical modeling and machine learning methods will ultimately allow us to predict the entire recognition space for any given TCR sequence. Our work is embedded into close collaborations with
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Job description:Title: DC13, PhD fellowship in explainable machine learning techniques to support the design of plant-based fermented food products – Development of a serious game to support the
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future by being part of what's next in electronics and the world. Job Description Research, and perform research on, the state of the art in machine learning, deep learning, or AI relevant to high
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to different domains. Specifically, you will: Develop, implement, and refine Machine Learning (ML) techniques for self-supervised Deep Learning (DL) for scientific and large-scale datasets Implement parallel ML
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science or related fields Proficient programming skills in Python Good experience with Docker software Basic knowledge of IoT platforms and communication protocols Basic knowledge of machine learning algorithms
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turbine drive train. Your task will include implementation of the most suitable sensor fusion method after literature review. You will also incorporate machine learning algorithms in the sensor fusion for a
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desirable. Prior knowledge and research experience in Data Analysis and Machine Learning (RNNs & Transformers) is highly desirable. Proficiency in programming languages such as Python and experience with deep
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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, processing, and analyzing complex and large amounts of data. Proven knowledge and experience in data analysis, machine learning, artificial intelligence, as well as handling and processing large amounts
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 3 hours ago
sources in the LISA data; Machine-learning methods to LISA data analysis; A Waveform Generator pipeline that can deliver signal models for all source types expected to be present in the LISA data; Fast and