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candidates in any field of machine learning theory, algorithms and computation or in AI applications in e.g., the social, neuro, or natural sciences, are encouraged to apply. The position comes with a start
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expected to be fluent in at least one of these languages, and in time are expected to master both to be able to teach BSc. students. As formal qualification you must hold a PhD degree (or equivalent). You
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working with 3D Image analysis in collaboration with users from many different fields. A central part of the team’s activities lies in creating new tools using machine learning enabling better and faster
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for designing, discovering or characterizing advanced materials, preferably combined with a strong expertise in AI-accelerated materials discovery, e.g., machine learning, graph-based models, generative AI, data
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/ ) Teaching portfolio including documentation of teaching experience and teaching evaluations Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here . Please indicate whether you are
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engineering, and application of machine learning in chemistry are particularly encouraged to apply. Responsibilities and qualifications The main purpose of the position is to strengthen and expand
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engineering, and application of machine learning in chemistry are particularly encouraged to apply. Responsibilities and qualifications The main purpose of the position is to strengthen and expand
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projects by: Analyzing sensor data and comparing it with established standards. Utilizing machine learning techniques to identify and interpret data patterns. Collaborating with a multidisciplinary team to
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integration of various life cycle inventory and impact assessment big data streams using different machine learning and advanced computational techniques Methods and indicator development for United Nation’s