Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
by getting inspired by the brain’s powerful and energy-efficient processing capabilities. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices
-
for four years. The project involves multiple partners: • OTFT characterizations : L2n-URCA Reims (O. Simonetti) • Polymer synthesis: ICPEES Strasbourg (N. Leclerc) • Material deposition: ICS Strasbourg (M
-
how networks support cognition is one of the most exciting challenges in clinical neuroscience. For complex conditions such as multiple sclerosis and autism spectrum disorder, progress has been slowed
-
of algorithms, discrete mathematics, probability, or optimization excellent written and spoken English skills knowledge of German, or willingness to learn, is desirable since the position involves undergraduate
-
to support coordinated decision-making for sustainable strategies in the port call? As a PhD student at TU Delft, you will leverage AI (i.e. optimization and machine learning techniques) to prepare ports
-
. optimization and machine learning techniques) to prepare ports, terminals, shipping companies, and other port actors for this important challenge. Your research will be part of the PortCall.Zero project - a five
-
reshape safety certification frameworks for safety critical systems leveraging AI and IoT technologies? This project aims at advancing inspection and data collection strategies optimization, and their
-
, microwave power, and frequency) on the degree and structure of carbonization and graphitization of the electrodes, aiming to reduce battery costs through process optimization. Additionally, the effects
-
will be determined in collaboration with you based on your strengths and interests, but could for instance involve developing new techniques for efficiently optimizing quantum computations, both in
-
the efficacy of the treatment, we have multiple research lines that utilize quantitative MRI at Amsterdam UMC. However, current quantitative MRI approaches have notoriously poor image quality, low resolution and