Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
Position as Postdoctoral Research Fellow available at the Department of Biosciences as part of the UiO: Life Science Convergence Environment AUTORHYTHM. The candidate will develop new machine learning
-
for improving a healthy lifespan. To reach this goal, we will use machine learning, sonification strategies, mathematical modelling, and experimental systems of cell biology and aging. AUTORHYTHM builds
-
fields both locally (field by field) and regionally (groups of fields). Data driven analyses will be complemented by physical reservoir modelling, with machine learning approaches to extract correlations
-
combination of geophysical, geological, and petrophysical data with advanced data processing techniques, including multi-component elastic full-waveform inversion, AVO inversion and machine learning, will be
-
to contribute to cutting-edge research initiatives leveraging, analysing, and exploiting non-conventional computer architectures via digital simulation of the system behaviour or via established approximate
-
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
-
-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
-
. Applicants must document academic qualifications in their field, equivalent to a Associate professor position. The successful applicant must be able to teach at all levels and to supervise Master and PhD
-
intelligence methods, notably machine learning, anticipated to play a significant role in advancing sports science and performance. Applications could include training planning, identifying factors limiting
-
, progression, and disease heterogeneity. Among others, the group's current projects leverage approaches from network science and machine learning in tool development for (1) modeling of regulatory interactions