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, ensuring the agent's responses are pedagogically valid, contextually appropriate, and consistent with collaborative learning theory. Scaffolding mechanism design. In close collaboration with the PhD
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demonstrated through at least one first-author publication: machine learning/computer science, computational biology/bioinformatics, cheminformatics. Individuals should have or be expected to have a PhD with
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interested in mentoring and supporting MSc and PhD students. You are a machine learning enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present
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to learn about, (road) network traffic flow theory and simulation. You are interested in mentoring and supporting MSc and PhD students. You are a machine learning enthusiast (and realist). You love coding
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12.08.2026, Academic staff The newly established Fundamentals of Programming Group at the Technical University of Munich (TUM) invites applications for - PhD students - Postdoctoral researchers Our
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the selected person to have the ability and motivation for doctoral studies and to complete a doctoral degree. To be eligible for a full PhD student position, the candidate is required to participate in a
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demonstrate exceptional skills and experience relevant to the role. Applications are invited for the post of Postdoctoral Research Associate in Applied Machine Learning for High-Stakes Regulated Domains in
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statistical / machine learning methods, pathway/network analysis or artificial intelligence approaches. Other requirements: The candidate should have a PhD or equivalent degree in bioinformatics, artificial
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, such as technical testing platforms for AI. Your profile PhD in Computer Science, with a thesis related to machine learning, software engineering, software security or a related area Strong programming and
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and Immigration website . Full-Time, Fixed-Term (12 months) Applications are invited for the post of Postdoctoral Research Associate in Applied Machine Learning for High-Stakes Regulated Domains in