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, information theory, statistics, real/functional analysis, statistics. - Excellent programming and software engineering skills at least in Python and in relevant machine learning libraries (at least one of
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or electrical engineering. You are motivated, creative and have a passion for academic research. You have an affinity with both experimental research and simulation software. You have a strong technical knowledge
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in the top 10% of their cohort. Proficiency in software engineering and knowledge of python are a plus. You should be a native speaker of English or Dutch, or provide proof of English proficiency
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modelling and data-driven modelling You have experience in mechatronic hardware and software. You have a team player mindset, a strong personality and work in a result-oriented manner. You are creative and
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experience in or understanding of robot hardware and software. You have a team player mindset, a strong personality and work in a result-oriented manner. You are creative and willing to work in a
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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering
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skills in Python and PyTorch including fundamental software engineering principles and machine learning design patterns. Be highly motivated and a team player with excellent communication and presentation
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, preparing data collection (e.g., setting up questionnaire), collecting both qualitative and quantitative data, coordinating with the app developer. Data analysis, including both qualitative and especially
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techniques. User of engineering software and modelling languages, such as, Python, MATLAB Toolbox, LabVIEW, DaisyLab, C++….. Working in interdisciplinary environments, good contextual understanding
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techniques. User of engineering software and modelling languages, such as, Python, MATLAB Toolbox, LabVIEW, DaisyLab, C++….. Working in interdisciplinary environments, good contextual understanding