Sort by
Refine Your Search
-
Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
-
potential. This post-doctoral project aims to develop a predictive model of tumor growth based on artificial intelligence (AI) approaches capable of integrating data from morphological MRI and MRS
-
Developmental Biology or in Cell and Molecular Biology (ideally <2 years – junior post-doc level) • Solid background and strong interest in biology of the neuron, gene regulation, translation regulation, axon
-
climate and earth sciences). The PhD will be prepared in close collaboration with the French Geological Survey (BRGM). Within the Py-10 project, the post-doc will have the opportunity to work with
-
(formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
-
organ transplantation. HLA-Epicheck is a predictive model of the antigenicity of polymorphic amino acids on the surface of HLA antigens, relying on dynamic structural data. Four tasks are identified. Task
-
to nascent mRNAs, regulate post-transcriptional processes including m6A methylation, subcellular localization, translation, and transcript quality control in various eukaryotic cell systems. In collaboration
-
+ engineers and administrative staffs, 150+ PhD students and 30+ post-docs and invited researchers. The lab is involved in many international research initiatives with 100+ foreign researchers at IEMN from 20
-
models that account for the dynamics of the actin polymer population in the cell cortex. The analysis will be carried out using probability theory and simulation tools, and will be based on a real effort
-
programming. - Interest in natural hazards, particularly gravitational processes. - Doctoral and/or post-doctoral experience in one or more of the following fields: remote sensing, geophysics, natural hazards