24 postdoc-machine-learning positions at University of Oslo

Postdoc in computational biology on tumor heterogeneity (ref 259648)

. Amongst others, the group's current projects leverage approaches from network science and machine learning in tool development for (1) modeling of regulatory interactions at bulk and single-cell resolution

PhD Research Fellow in Machine Learning

16th May 2024 Languages English English English PhD Research Fellow in Machine Learning Apply for this job See advertisement About the position PhD Research Fellow Position in Machine Learning is

PhD Research Fellow in Machine Learning

JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. 16th May 2024 Languages English English English PhD Research Fellow in Machine Learning Apply

Postdoctoral Research Fellow in Statistics

focus on knowledge driven machine-learning, is funded from the Research Council of Norway (RCN) for ten years, and will include a large number of PhDs and postdocs. The successful applicant will join the

Postdoctoral Research Fellow in Statistics

part of a recently funded centre-of-excellence (INTEGREAT). INTEGREAT, which has a focus on knowledge driven machine-learning, is funded from the Research Council of Norway (RCN) for ten years, and will

Postdoc in computational biology on tumor heterogeneity

science and machine learning in tool development for (1) modeling of regulatory interactions at bulk and single-cell resolution, (2) integration of regulatory networks with multi-omics data, (3) fine-tuned

PhD Research Fellow in Probabilistic Machine Learning (ref 257219)

analysis and deep learning, as well as in digital signal processing and acoustic imaging. There are about 20 Postdocs and PhD students in the group with financing from a variety of national and international

Postdoc in computational biology on tumor heterogeneity

, progression, and disease heterogeneity. Amongst others, the group's current projects leverage approaches from network science and machine learning in tool development for (1) modeling of regulatory interactions

PhD fellowship in Neuroimaging

Experience with machine learning applications Personal skills In the evaluation of applicants, emphasis will be placed on the following personal skills: Candidate’s good co-operative skills, and the ability

PhD fellowship in Neuroimaging

with processing quantitative MRI and synthetic MRI Experience with data curation for MRI projects Experience with machine learning applications Personal skills In the evaluation of applicants, emphasis