-
. 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
-
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
-
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
-
, 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
-
), 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
-
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
-
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
-
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
-
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