Sort by
Refine Your Search
-
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
-
approaches to model polarization. The aim of the project is to develop methodological tools to characterize and exploit the polarization information extracted from bivariate signals (i.e. two-dimensional
-
Job related to staff position within a Research Infrastructure? No Offer Description Development of theoretical models of cell migration with memory Modeling in statistical physics and soft matter
-
evolution, heritability, genetic correlations, and trait evolvability, and possibly inbreeding depression. Work on natural selection is underway, and the postdoctoral fellow may also contribute
-
at international conferences. Development and optimization of experimental protocols: stereotactic injections, optogenetics, chemogenetics, in vivo imaging (fiber photometry, calcium imaging). • Development and
-
doctoral students. The project The primary goal of this project is to investigate the impacts of terrestrial freshwater and organic/inorganic matter fluxes delivered through rivers on the evolution
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims to develop a single-oocyte genomic approach in C
-
develops projects covering the full spectrum of neuroscience, from molecular biology to cognitive functions. The host team focuses particularly on the role of astrocytes in the modulation of neuromodulators
-
reproduce subtle mathematical properties expressed by Hilbert complexes at the discrete level. The developments envisaged within the NEMESIS project involve combining highly sophisticated tools for numerical
-
), consisting of the partial destruction of chromosomes in their soma during development. Although described as early as 1887, PDE has remained mysterious due to the limitations of model systems and sequencing