Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
contribute to the development of a proof of concept obtained at University Côte d’Azur for accessing the content of a metabolomics knowledge graph (KG) with a large language model. It is Python prototype of a
-
of the ubiquitin system that drive its dynamic interactions. Objectives. The post-doctoral fellow will work on the development of a robust detection pipeline for sub-single-cell proteomics. Training and research
-
-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain
-
within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty's research and teaching focuses on social, economic, political
-
wishes to develop work involving behavioural/experimental economics, in collaboration with energy economists. To this end, we are looking for a research associate who can help to drive forward this new
-
OXPHOS deficiency and the development of mitochondrial disease (MD). We will study the pathogenesis of MIP-linked mitochondrial disease by characterizing MIPs role in mammalian mitochondria. Additionally
-
, but are not limited to, neural coding in the visual cortex, multimodal information processing, state-dependent processing, visual perception, development of imaging tools for in vivo neuronal recordings
-
The project will be developed in the host laboratory(SIMHEL/U978) whose main pathophysiological models are two CD5+chronic B cell neoplasms (chronic lymphocytic leukemiaand mantle cell lymphoma
-
mechanoelectrical feedback, it requires specific tools to uncouple them and to decode the transformation of complex acoustic stimuli by the brain. In the lab, we are developing electrophysiological and imaging
-
The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning