42 machine-learning positions at Delft University of Technology (TU Delft) in Netherlands
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, model-based and data-driven fault detection and identification, moving horizon estimation, convex optimization, randomized algorithms, stochastic programming, machine learning. In addition, excellent
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. Learn more about your project at the Model-Driven Decisions Lab Requirements Specific Requirements You hold an MSc in computer science, data science, or another relevant subject, with practical machine
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Requirements You should have the following qualifications: A strong background in machine learning. Knowledge of Bayesian optimization, Gaussian processes is a plus. Background in mechanics is highly desired. A
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discovery processes, LLMs help maintain an organized and dynamic knowledge base, supporting continuous learning and decision-making within organizations and beyond. This PhD research will also investigate
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with your chip(s) will be analyzed with machine-learning algorithms. You will collaborate with researchers and companies of various disciplines like chemistry, embedded systems, software, signal
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skills; Strong background in Java or Kotlin and tool development, with an understanding of how to build IDE plugins; Sufficient understanding of machine learning principles and AI systems, with experience
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or at least some interest in machine learning, preferably techniques for management/adaptation of systems. Programming experience in MATLAB/Python or C/C++, preferably in relation to radar signal processing. A
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interest in machine learning, preferably techniques for management/adaptation of systems. Programming experience in MATLAB/Python or C/C++, preferably in relation to radar signal processing. A curiosity
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, biomedical engineering, computer science or similar. Experience in programming (Python and/or Matlab). Good interpersonal and communications skills. Prior experience in AI/machine learning is a plus. Affinity
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degree in computer science with a focus on Software Engineering, Software Testing, and Machine Learning. Possesses a strong background in programming using Python, Java, or Kotlin, with a potential