11 machine-learning Fellowship research jobs at University of Bergen in Norway

PhD Research Fellow in Causal Decision Making

duties at the Department). About the project/work tasks Causality is a fast-developing area of machine learning, holding the promise to improve artificial reasoning and intelligence. Causal models can

PhD Research Fellow in applied and computational mathematics – CSSR

to data-driven (machine-learned) representations. In particular, we are interested in the joint applicability of such models and to what extent simpler models (possibly based on machine learning) can be

PhD Research Fellow in applied and computational mathematics – CSSR

-performance computing, via reduced-order models to data-driven (machine-learned) representations. In particular, we are interested in the joint applicability of such models and to what extent simpler models

PhD Research Fellow in Algorithms

to machine learning and artificial intelligence is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must be

PhD Research Fellow in Algorithms

. Familiarity with research relating to machine learning and artificial intelligence is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative

Postdoctoral Research Fellow (3 years) at the Department of Clinical Science

(for instance mathematics, statistics, medicine with a strong emphasis on computational and programming aspects). Experience in machine learning is a requirement. Experience with programming and app development

Postdoctoral Research Fellow (3 years) at the Department of Clinical Science

computational and programming aspects). Experience in machine learning is a requirement. Experience with programming and app development will be emphasized. Personal skills, including independence, abilities

PhD Research Fellow in Data-Driven Computational Mechanics for Offshore Wind Energy

(BEM) is an advantage. Experience with either scientific computing or numerical optimization is an advantage. Experience with unsupervised machine learning is also an advantage. Applicants must be able

Postdoctoral Research Fellow in Systems or Computer Science

engineering, cybernetics, applied mathematics or another relevant degree at the same level, and applicants must also have a specialization in bioinformatics, machine learning/artificial intelligence, simulation

PhD Research Fellow in computational mathematics for geoscience – CSSR

. In particular, we are interested in the joint applicability of such models and to what extent simpler models (possibly based on machine learning) can be integrated into full-physics simulation