Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
assays to quantify kinetics and selectivity under operationally relevant conditions; and multi-modal spectroscopy (e.g., UV–Vis, NMR, EPR and complementary methods) to characterize metal coordination
-
-modal spectroscopy (e.g., UV–Vis, NMR, EPR and complementary methods) to characterize metal coordination, redox states, and catalytic intermediates. You will work closely with colleagues spanning protein
-
Bård Halvorsen 12th October 2025 Languages English English English Digitalisation and Society PhD in Open-Ended AI: Novel Methods for Enabling Novelty and Creativity in AI Systems Apply for this job
-
comprehensive databases combining nationwide Norwegian health and socioeconomic registry data, biobanks and patient-reported data. Using advanced epidemiological methods, causal inference and machine learning
-
monitoring system with contactless sensor which can be integrated to existing data acquisition system enabling to monitor wind turbine health as well as estimating remaining useful life (RUL). This PhD project
-
epidemiological methods, causal inference and machine learning techniques, we aim to: Improve understanding of risk factors for primary headaches Predict diagnosis and disease progression Identify the most
-
distribution modelling Experience with spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological
-
, making use of economic theory and state of the art econometric methods. The Department of Economics has a strong research-oriented faculty working within microeconomic theory, macroeconomics, econometrics
-
, making use of economic theory and state of the art econometric methods. The Department of Economics has a strong research-oriented faculty working within microeconomic theory, macroeconomics, econometrics
-
spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological questions Personal attributes: Strong