Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
to compensate for such aberrations, significantly enhancing image quality. Adaptive requires knowledge of the wavefront to be corrected. Our team has been developing a machine-learning approach to wavefront
-
The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 1 day ago
. The project will be realised in a vibrant and internationally recognised group led by Prof. Agnieszka Chacińska (https://imol.institute/leaders/chacinska-group/ ) We are looking for a highly motivated person to
-
efforts; amplify Indigenous and community voices; and shape policies that are not only effective, but just and inclusive. By bridging knowledge systems and fostering creative public engagement, HASS
-
Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
-
Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
-
(Wissenschaftszeitvertragsgesetz - WissZeitVG). The position aims at obtaining further academic qualification (usually PhD). Professional assignment: Chair of Knowledge-Aware Artificial Intelligence (Prof. Dr. Simon Razniewski
-
to determine the impact on screening performance when optimizing the radiologist’s interpretation. This trial will involve two rounds of screening for 84,000 women and will leverage new knowledge
-
the NGF-Call AiNed ELSA Labs). The ELSA4TI Lab is led by Prof Ming Cao, Director of the Jantina Tammes School of Digital Society, Technology and AI. ELSA4TI focuses on the ethical, legal, social and
-
in Maastricht and Radboud University, you will conduct innovative research at the crossroads of psychology, neuroscience, and computational science. PhD Candidate: Cognitive Computational Neuroscience
-
how they can be optimised to improve motor function. The outcomes may have wide-ranging implications for the design of training protocols aimed at improving motor and cognitive function, providing