70 parallel-computing-numerical-methods positions at Utrecht University in Netherlands
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description You will join an expert team
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30 Sep 2025 Job Information Organisation/Company Utrecht University Research Field Architecture » Design Architecture » Landscape architecture Computer science » Informatics Computer
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design; Strong analytical and computational skills for the experimental results using (spatial) statistical methods; A keen interest in performing multi-disciplinary work as part of larger research team; A
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University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be
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light-sheet microscope optimized for live, volumetric imaging of larval zebrafish. Data analysis: analyze whole‑brain calcium imaging recordings. Spatially resolved molecular methods: apply expansion
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such scenarios, maps must be created or transformed from other maps. The ERC funded project GeoTrAnsQData project addresses this by developing a GeoQA method that converts questions into executable geo-analytical
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2 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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well as willingness to participate in large collaborations. Theoretical and numerical skills will be prioritised. Evidence of experience in scientific writing and outreach are a plus. Our offer A stimulating scientific
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. The incompatibility in the application of these modeling methods presents a fundamental challenge to close the GCB. GCB is the most comprehensive source of data and information about regional-to-global scale carbon
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potential to publish research in high quality journals; working knowledge of relevant methods for analysing & interpreting qualitative data; interest in, or knowledge of, sustainable finance and sustainable