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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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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 9 hours ago
safeguards to maintain steady-state operation without plasma interruptions. The integration of machine learning algorithms offers a promising solution to dynamically predict and manage these thermal loads
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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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the potential to apply these methods to different domains. Specifically, you will: Develop, implement, and refine Machine Learning (ML) techniques for self-supervised Deep Learning (DL) for scientific and large
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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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development of knowledge graph techniques to integrate and analyze the data generated by simulations, experiments, and machine learning methods. The research tasks include: Investigating suitable
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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