34 high-performance-computing-postdoc positions at Leiden University in Ireland-University-Ranking-2024
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learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development of new data-driven
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), Computer Science (Machine learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development
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(UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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The Leiden Institute of Advanced Computer Science ( LIACS ) is looking for an excellent Post-doc researcher (1.0 FTE) with a background in Computer Science (or a closely related field) to join a
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The postdoc project aims at fabricating graphene edge sensors for single molecule detection and biopolymer sequencing. The device architecture will be scalable and tunable by combining unique
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) Application Deadline 1 Nov 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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Experience in working with large geospatial datasets (e.g., ERA5, CMIP6, Sentinel, MODIS) Working with complex models and high performance computing, ideally dynamic global vegetation models (DGVMs
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position within the field of mathematical or theoretical biology, computational physics, applied mathematics or computational science. This PhD project is part of the Gravitation programme GreenTE (Green
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15 Aug 2026 Job Information Organisation/Company Leiden University Research Field Biological sciences » Biodiversity Computer science » Programming Researcher Profile Recognised Researcher (R2
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the project. What you will do Conduct original and high-quality research in machine learning and computer vision; Develop novel algorithms for adapting and specialising visual foundation models; Publish