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educational data science and machine learning in education are to be filled as soon as possible. The positions are funded through a Momentum grant of the VolkswagenStiftung and are embedded in the research
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conferences in robotics, control, or machine learning. • Excellent communication skills and ability to independently publish and present research outcomes. • Demonstrated ability to supervise students
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control Strong background in machine learning and data-driven modeling for engineering systems Experience with scientific programming (e.g., Python, MATLAB) and numerical methods Proven ability to conduct
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
, leveraging on data analytics and machine learning to improve learning outcomes and engagement in the classroom, and Development of personal GPT-powered AI tutors that use the knowledge from (1) to provide
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to accelerate biomedical discovery. Our mission is to transform bold scientific ideas into advances that improve human health. In this context, the Funke lab develops machine learning methods to accelerate
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projects, from study design to publication. This includes development of machine learning models, computer simulations, and app/software engineering. This role requires strong academic writing skills and the
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applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include: Development and application of AI and machine
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of machine learning-based automated ultrasound video analysis models that incorporate temporal reasoning. The research will also include work that aims to understand how human behaviour may change with
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user and stakeholder engagement. The candidate will be embedded in a multidisciplinary research environment combining expertise in machine learning (ML), numerical modelling, satellite remote sensing
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enterprises (SMEs). The postdoc will work at the intersection of cybersecurity, machine learning, and human centered system design, contributing to the research on privacy aware monitoring, attacker modelling