Sort by
Refine Your Search
-
) Efficient coupling of deep learning models to numerical solvers for hybrid CO2 flow modelling. The developed machine learning techniques will be open-sourced and be validated across a wide range of
-
researchers to find and follow their passion. We offer fantastic opportunities for learning, development and professional growth. This project will provide hands-on insight into, and potentially lead to, career
-
storage of such items Supervision and maintenance of all equipment – crockery, cutlery, glassware, smallware’s, dishwashers, coffee machines etc. Proactively monitoring the state and quantity of items
-
. Proficient in Microsoft Office Software (Microsoft Word, Excel, PowerPoint), Scientific Data Analysis and Graphing Tools and other relevant computer-based tools used in a modern research environment
-
approaches, i.e. machine learning. Experience and knowledge in sorbent-based CO2 capture. Experience of interaction with industry. Experience supervising students. Skills in writing bids for research grants
-
image processing, from theory and algorithms to applications throughout science and technology. We particularly welcome applications from candidates with expertise and research focus on machine learning
-
grow? We encourage our researchers to find and follow their passion. We offer fantastic opportunities for learning, development and professional growth. This project will provide hands-on insight
-
(https://cvn.centralesupelec.fr/ ), Prof. Pock from the Institute of Computer Graphics and Vision at Graz University of Technology (ICG ), Prof. Thiran from the EPFL Signal Processing Laboratories (LTS5