15 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Postdoctoral positions in France
Sort by
Refine Your Search
-
Pasteur center, in Paris (France). We are seeking an outstanding, highly motivated advanced scientist in molecular biology and neuroscience for projects on gene regulation and gene regulatory networks with
-
of the auditory pathway using multi-electrode arrays. Requirements We are looking for individuals who want to study neural coding in the context of hearing and who meet the following criteria: 1) PhD in
-
experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
-
international partners, building a robust network for your career. · Life in Paris & Beyond: Work on a vibrant campus just 20 km from the heart of Paris, enjoying the city’s cultural and scientific
-
network of collaborators Other valued appreciated: autonomous, proactive, focused on the research program, deliver on time Languages: English Benefits package Subsidized meals Partial reimbursement
-
., omics or clinical data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, with a focus on omics data
-
. Metodi Metodiev (project PI) and will benefit from access to state-of-the-art technological platforms and our network of gene therapy experts.Main missions: •Histological (IF, activity assays) analysis
-
Independent supervision of students and doctoral candidates Support in the further development of the Bachelor en Formation Pédagogique program and in the expansion of networks with stakeholders and partners
-
streams. We work closely with a network of collaborators and public health agencies in France and abroad. A few studies illustrating our approach and the diversity of the questions we investigate: Using
-
metabolism in rare and more common neurodegenerative or neurometabolic diseases. We exploit genomic and post-genomic data to fill gaps in metabolic networks, discover new enzyme functions, and elucidate