Sort by
Refine Your Search
-
of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize
-
implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
-
:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
-
regional network of memory clinics in the Hauts-de-France region, and the demographic and clinical data within this database, specifically regarding patients at the memory center (in terms of the sex ratio
-
of molecular networks • Have knowledge of molecular networking (Molecular Network (MN) and Feature Based Molecular Networking (FBMN)) and similarity algorithms: ie, Cosine score • Master the English language
-
information design, (iv) strategic communication on networks, (v) information transmission with coarse messages. The post-doctoral researcher will participate in the scientific activities of the ANR SCOCOS team
-
. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained
-
experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance
-
motivation/cover letter (maximum 2 pages); Contact details of two referees; A CV, including a list of publications. If this position may interest someone in your network, we would appreciate that you forward
-
on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and biomechanical variables