Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
neural network types for efficient hardware implementation Developing an FPGA-optimized design Performing device-aware training using both simulated and measured datasets Validation of the complete
-
consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
-
Institute for Basic Science (IBS), Center for Synaptic Dysfunctions | South Korea, | South Korea | about 10 hours ago
targeted perturbations reshape neural dynamics and behavior. • Computational modeling: Development of circuit, network, and normative models that generate testable predictions and are constrained by, and
-
regulation of the quadripartite synapse and neural network activity during sensory integration, using in vivo and ex vivo multiscale imaging approaches and behavioral tests Where to apply Website
-
modelling and emissions) and collaborate within a Helmholtz-wide network with expertise in: - Bayesian deep learning neural processes (Helmholtz Munich) - air quality measurements and exposure science (RIFS
-
; - to study the identification of parameters of an existing neural network from a limited number of samples; - to employ modern tools from different areas of mathematics, like the Maurey probabilistic
-
Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | 10 days ago
neural networks (GNN). Functions to be developed: Build and openly publish a collection of GNNs trained on tasks with known answers (minimum paths, flows, spanning trees), to validate interpretability
-
physics, and artificial intelligence. Its goal is to implement neural-network operations directly in a physical optical system. The successful candidate will participate in the design and experimental
-
as well as systems/neural network processes underlying motor control in animals and humans, in both health and neuropsychiatric diseases. This includes: The successful candidate will be part of the
-
Laboratoire Modélisation et Simulation Multi Echelle UMR 8208 | Créteil, Île-de-France | France | about 1 month ago
particular, graph neural networks will be investigated to represent the interconnected canalicular system and predict effective transport properties from the underlying network architecture. • Development