Sort by
Refine Your Search
-
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
-
previous experience in application of machine learning techniques within energy systems strong analytical skills and ability to collect, analyze and study the impact of low carbon technologies good knowledge
-
machine learning approaches to extract correlations from data first, and causal analysis after to extract causation. The position is funded by the NCS2030 centre. Qualification requirements You must have a
Searches related to phd machine learning
Enter an email to receive alerts for phd-machine-learning positions