Sort by
Refine Your Search
-
: Neuroscience Project Summary This project proposes to explore how to equip artificial neural networks with the ability to efficiently unlearn, by applying neuroscientific insights from the same ability of mammal
-
management appreciated. - Mastery of communication tools (website, social networks, policy briefs, press releases, etc.), office tools (MS Office, LibreOffice). - Writing skills - Ability to work in a team and
-
of elements between the various departments involved, such as the RS2M department, which will develop a more network-focused platform. Ultimately, the ideal would be to link the various platforms and develop a
-
call for Interdisciplinary Research Chairs to further enrich its community of researchers working at the interface of different disciplines. Join DYNABIO as a Group Leader in Biological Network modeling
-
Expertise in one or more core areas of Generative AI, such as Large Language Models (LLMs), Generative Adversarial Networks (GANs), diffusion models, neurosymbolic methods, or other emerging directions within
-
, it has matured into an established research community seeking automatic, computerized processing of 3D geometric data obtained through measurements or designs. The following developments have shaped
-
Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
placement, limiting accessibility for the broader scientific and surgical communities. 2 – CONCEPT AND OBJECTIVE The objective of this doctoral thesis, building upon previous Master’s research, is to develop
-
qualitatively, particularly in relation to surface water and global change. - Model groundwater flows in relation to surface water (e.g., aquifer-river exchange and urban network) and the impacts of climate
-
which neural network effectively conveys this information are central questions in the field of hearing and neuroscience in general. We are developing several complementary approaches to answer
-
, the Chair holder is expected to contribute to the university community through either teaching or engagement in local interdisciplinary networking activities (35 hours/year). Eligibility The call is open to