-
computing and privacy in the digital world, but also in digital health and computational biology. Contexte et atouts du poste The PhD thesis will be held at Ecole Normale Supérieure (ENS-Lyon), in Lyon
-
computer vision, robotics, or related fields Excellent programming skill in Python and Pytorch Strong proficiency in both written and spoken English Ability to work independently as well as collaboratively
-
data as input are called Graph Neural Networks (GNNs). As Neural Networks are computationally expensive, these models are usually run on powerful servers. The availability of hardware acceleration
-
for both oral and written communication. Relational Skills: - Strong oral communication skills for scientific discourse. - Demonstrated ability in written communication through publications. Other Valued
-
within a Research Infrastructure? No Offer Description Contexte et atouts du poste This PhD project will be realized in the Inria NERV team, a research lab supported by the French institutions Inria
-
within a Research Infrastructure? No Offer Description Contexte et atouts du poste The main goal of this PhD project is to develope a deep learning framework for the design of cyclic peptides. This project
-
complexity in practice might provide fewer benefits as it could be expected from analytical derivations. The reason is the overhead caused by specific hardware we use to train or execute neural networks
-
Internet of Things (IoT) devices. This trend aims to address issues related to data privacy, bandwidth limitations, power consumption reduction and low latency requirements, especially for real-time, mission