Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
-
to climate change) under the supervision of Dr. Ashley Shade in the “Bacterial Efflux and Environmental Resistance” team. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5557-BEABIG-045
-
different methods of analysis used in the community, in particular linguistic probes (classifiers trained to predict certain linguistic properties from representations discovered by neural networks
-
analysis) to compare brain responses with predictions of computational models (deep neural networks developed by the NASCE team). The objectives include assessing how the brain segments, groups
-
Technologies INspiring Young scientists (DESTINY2, https://www.destiny-phd.eu/ ) is opening 24 doctoral positions hosted by universities, research centres, and laboratories in France (17), Spain (3), Germany (1
-
are being envisaged for future 6G networks [1,2] as a first line of defense with low latency and low computational cost. A key requirement for their practical implementation is the guarantee of an asymmetry
-
Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management
-
observed in optomechanical platforms [2]. Practically, the applicability of modern quantum technologies in optomechanical networks ultimately requires quantum entanglement of light and many vibrations—i.e
-
approaches with synaptic physiology and animal behaviour. The laboratory benefits from solid funding and is involved in a dense network of local, national and international collaborations. The working language
-
these unique datasets using advanced artificial intelligence methods to automatically analyze blood-flow velocity, vessel diameter, and the functional response of the retinal vascular network. The project