Sort by
Refine Your Search
-
-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing
-
statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use intensity, climate change, nitrogen deposition. Proven capability
-
: Conceptualisation and synthesis of data integration and visualisation workflows. Data management and the development of knowledge graphs Development and application of AI and machine learning methods and pipelines
-
computer cluster. The successful applicant will also contribute to disseminating the results at conferences and meetings. Your profile You must have obtained a PhD degree in physics or a closely related
-
-in-research-and-development/software-engineering-computing-systems Further details about the Department of Electrical and Computer Engineering can be found here: https://ece.au.dk/en/about-the
-
populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk