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PhD candidate for the project "Modulation of inflammatory Dendritic cell subsets in atherosclerosis"
challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences
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, astronomy, physics, chemistry, and biopharmaceutical sciences to biology and environmental sciences, along with the Lorentz Center and the Hortus botanicus, form the backbone of our faculty and have a strong
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. Yvonne Grunder, University of Liverpool https://www.liverpool.ac.uk/physics/research/condensed-matter-physics/ Co-supervisor from secondment: Prof. Paolo Fornasiero, University of Trieste https
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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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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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steelmaking more resilient through feedstock upgrading, flexible mix design, AI-supported process steering, and valorization of EAF slags. The PhD candidate will contribute to understanding how future changes
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benefits package including pension build-up, paid parental leave and additional holiday bonuses. For more information, see our websites: https://www.universiteitleiden.nl/en/working-at/job-application
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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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on impacts arising from offshore wind farm installation, operation, and maintenance (O&M), including physical and chemical stressors affecting benthic and pelagic ecosystems. The PhD project is expected
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the Horizon Europe project DiversEAFy, an interdisciplinary consortium that aims to make future EAF steelmaking more resilient through feedstock upgrading, flexible mix design, AI-supported process steering