50 machine-learning "https:" "https:" "https:" "https:" "Eindhoven University of Technology (TU" positions at Utrecht University in Netherlands
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., high performance, functional array programming DSLs) to tackle challenging probabilistic and differentiable programming applications (e.g., experimental design, machine learning for science). We do so by
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- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute to a corpus of geo-analytical scenarios with
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19 Dec 2025 Job Information Organisation/Company Utrecht University Research Field Computer science Educational sciences » Education Educational sciences » Learning studies Researcher Profile First
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. Anna Zhelnina. The research team will consist of the principal investigator, a PhD candidate, and two post-doctoral researchers. Where to apply Website https://www.academictransfer.com/en/jobs/357476/phd
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. Where to apply Website https://www.academictransfer.com/en/jobs/357221/junior-datamanager/apply/ Requirements Specific Requirements You bring the following qualifications: a completed degree from a
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by molecular biology and biochemical methods; be an active member of an open and interdisciplinary research team; learn to independently collect, analyse and interpret your data, share your data
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-antibodies. You will focus on the identification of these antibodies by using mass spectrometry based de novo sequencing, machine learning and AI-tools to interpret the data. Your job The primary objective
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publish in top venues, collaborate with leading researchers and develop your own research line within a supportive, highly visible group. Where to apply Website https://www.academictransfer.com/en/jobs
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of wandering dervishes in Anatolia, including their relationships with ordinary people, their responses to institutionalized Sufi orders, and their responses to urban Muslim scholars Where to apply Website https
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mathematical modelling, with a focus on real-world applications. This includes statistics, uncertainty quantification, data analysis, signal processing, (mathematical foundations of) machine learning, and