Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Job Description Applications are invited for a position as postdoc in Computational Biology in the laboratory of DNRF Chair and Novo Nordisk Faculty Professor Vijay Tiwari (https://www.tiwarilab.org
-
magnets that is able to generate a strong magnetic field, while at the same time being easy to manufacture, and cost-efficient. We aim to achieve this by using a novel computational approach that should be
-
interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems
-
The Department of Computer Science, Aarhus University invites applications for postdocs and PhD students. Supported by a generous ERC Advanced Grant and a Villum Investigator Grant from Villum
-
collaboration between the Department of Electrical and Computer Engineering and the Novo Nordisk Foundation CO2 research center, Aarhus University, we aim to address this opportunity by developing digital twins
-
the European Research Council project REVIVE, combining experimental, analytical, and computational approachesofbatteries.Thismultidisciplinaryandhigh-visibilityenvironmentprovidesexcellent opportunities
-
environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
-
Job Description In order to expand the Centre for Visual Data Science , the Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, invites applications for a
-
environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
-
. You will support field behavioral experiments to test designs of tradable credits schemes in specific urban contexts. You will explore and implement machine-learning algorithms and classical dynamic