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and probabilistic programming. This exciting new field of research combines knowledge from the machine learning, programming languages, scientific computing, and statistical physics communities
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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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for automotive components, building components, domestic appliances and electrical goods. Besides the improved corrosion resistance, however, these coating alloys generally suffer from a reduced formability and
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universities and networks worldwide to become a truly global center of knowledge. Project aim This project is part of a ZonMw-funded collaboration between the Melgert and Prekovic labs and aims to uncover how
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. Enthusiastic and highly motivated candidates willing to work as part of a team on these challenging questions are sought. Both candidates with a background in physical chemistry who are willing to move towards
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University of Amsterdam, String Theory Group, Institute of Physics Position ID: UvA -String Theory Group, Institute of Physics -PHDSTQG [#29584] Position Title: Position Location: Amsterdam, North
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your background and how you envision your contribution to our department in terms of teaching and research. Submitting a diploma and a reference check are part of the application process. Selection will
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PhD position on decadal coastal dune development Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 8 September 2025
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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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conditions Work and science require good employment practices. Radboud University's primary and secondary employment conditions reflect this. You can make arrangements for the best possible work-life balance