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Vacancies PhD position on Mathematical Statistics or Machine Learning Theory Key takeaways Current statistical methodology still reflects the use-context of its first development in the 1920s
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Vacancies PhD Position: Advancing Computational Mechanics through Machine Learning Key takeaways Machine learning is revolutionizing computational mechanics, enhancing the solution of complex
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Vacancies PhD position on Mathematical Statistics and Machine Learning Theory Key takeaways Current statistical methodology still reflects the use-context of its first development in the 1920s
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foundation models, deep machine learning and computer vision. Topics of interest are test-time generalization, embodied grounding, data scarcity and uncertainly modeling. The research is embedded in the VIS
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incident conditions, i.e., mainly higher incidence energies, which requires the development and implementation of a new machine-learning model to represent the tensorial electronic friction coefficients
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your chance to make a significant impact in areas such as: Physical layer optimization Signal processing and software-defined radio prototyping Machine learning for wireless sensing What We're Looking
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offering competitive compensation. We are also dedicated to providing a supportive and inclusive working environment where you can learn and grow every day. Additionally, you will also receive: A choice of
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of health data or for decision making in health care. You will be developing innovative models, data-driven algorithms, and/or machine learning-based approaches with the goal of profoundly impacting health
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Interaction and to the supervision of Bachelor and Master level students. Job requirements A master’s degree (or an equivalent university degree) in Computer Science or another discipline that is of relevance
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, machine learning, signal processing) or an experimental background (software-defined radios, RF engineering), you build upon your strengths within the the 6thSense MSCA Doctoral School. Working across