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of Oxford and Valencia, on a large-scale European project. The focus of the postdoc project will be on using advanced numerical simulation modeling software and machine learning techniques to quantitatively
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postdoc (up to 4 years) and a PhD student. The main focus of this position will be at the interplay between theoretical 21cm cosmology and machine learning. While the postdoc will be stationed at the RUG
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to incorporate this knowledge in socially responsible policy-making. These questions are at the heart of thos project, with the primary focus on hydrogen transport and storage. In this postdoc position, you will i
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focus on hydrogen transport and storage. In this postdoc position, you will i) conduct a literature review in order to identify key individual, collective, and contextual factors that (may) influence
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Postdoc Public perceptions and acceptability of Hydrogen Developments (1.0 FTE) (V24.0215) « Back to the overview Job description Hydrogen is a rapidly evolving development aimed at mitigating
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at the interplay between theoretical 21cm cosmology and machine learning. While the postdoc will be stationed at the RUG, it is expected that there will be frequent collaboration meetings between Amsterdam and
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Applications are invited for a 4-year salaried PhD position within the research project “Polyglot Machines: Human-like Learning of Morphologically Rich Languages”, financed by a NWO-VIDI Talent
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PhD position within the research project “Polyglot Machines: Human-like Learning of Morphologically Rich Languages”, financed by a NWO-VIDI Talent Grant and coordinated by Principal Investigator (PI) dr
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. This can include, e.g., expertise in managing and analysing large scientific datasets, applying machine learning and artificial intelligence techniques, engaging in innovative modelling, and software
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demonstrate a robust track record in cutting-edge data science research fields. This can include, e.g., expertise in managing and analysing large scientific datasets, applying machine learning and