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energy systems. Proficiency in programming, ideally in Python or similar languages, with a focus on open-source modeling and handling large datasets. Familiarity with urban energy planning, climate
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responsible for the Bachelor’s and Master’s programmes in Computer Science, the Master’s programme in Information Science, and for about 30% of the Bachelor’s and Master’s programmes in AI at Radboud
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research group, which has extensive experience with data collection, and a well developed scientific outreach programme that the candidate can take part in. A Research Master’s or Master’s degree in any area
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programme that the candidate can take part in. Qualifications A Research Master’s or Master’s degree in any area related to the project demonstrating knowledge of (and interest in) sociolinguistics
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PhD in Film Studies: Cinema’s Mediterranean Connections, Archives, Flows and Southern Epistemologies
supervisors of the project, while Dr. Kiss will act as promoter. The candidate will be affiliated with the Arts, Culture and Media program as well as the Groningen Research Center for the Study of Culture (ICOG
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reputation for excellence (ranked #29 in QS World University Rankings for top clinical psychology programs in 2025). Research within the Clinical Psychology and Experimental Psychopathology group focuses
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an international reputation as a dynamic and innovative institution of higher education offering high-quality teaching and research. Flexible study programs and academic career opportunities in a wide variety of
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research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
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/or human-computer interaction. Programming skills, e.g. Python, Java, or C++. Excellent command in English, verbal and written. Prior experience as a research assistant during (under)graduate studies
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the form of a research course report or master’s thesis; Good programming skills. Preferably you have provable experience with deep learning; software (e.g., Pytorch, Jax, Tensorflow) and large-scale