Sort by
Refine Your Search
-
at the HISP centre that work on complementary deep learning approaches to disease modelling as well as on development of plat-forms for running and evaluating prediction models. The PhD candidate will develop
-
entails teaching responsibilities within automation of synthetic chemistry and high-throughput experimentation. We seek candidates who demonstrate a collegial approach to teaching and a deep appreciation
-
candidates who demonstrate a collegial approach to teaching and a deep appreciation for the societal role of university education. As a matter of strategic decision, Department of Chemistry has acquired a
-
power engineering. In condition monitoring non-invasive data is analyzed through machine learning algorithms or by statistical methods. The aim of predictive analysis is to use non-invasive methods
-
-time fault prediction. ML models, such as deep learning, reinforcement learning, and ensemble techniques, can analyze large-scale operational datasets from hydroelectric power plants, identifying
-
The idea is to combine established iterative ensemble Kalman methods with novel emerging machine-learning-enabled model calibration techniques recently adopted in CLM-FATES at UiO. The aim is: to constrain
-
using: Snow cover Flux tower data The idea is to combine established iterative ensemble Kalman methods with novel emerging machine-learning-enabled model calibration techniques recently adopted in CLM
-
or Machine Learning). The Master’s thesis must be included in the application. Ideal Candidate: Demonstrates experience or strong interest in modelling, programming, systems thinking, and qualitative
-
, Mathematics (Operations research) or Computer Science or Machine Learning). The Master’s thesis must be included in the application. Ideal Candidate: Demonstrates experience or strong interest in modelling
-
fasting) from wearables and other sources with multi-omics biomarkers. The project involves refining deep learning approaches, such as recurrent and convolutional neural networks, to improve personalized