Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
for the development of more predictive preclinical platforms. This PhD project is part of the ANR JCJC EXOFLEX project, which aims to develop an instrumented microfluidic platform capable of simultaneously controlling
-
world of research and development, as well as for the general public. The hosting team at Institut Néel is Magsup —Magnetism and Superconductivity —, which forms part of the MCBT department. Magnetism and
-
through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will work at the Paris
-
Research Infrastructure? No Offer Description This PhD project is part of a long-standing collaboration between the LOCEAN laboratory (UMR 7159) and the LJK laboratory (UMR 5224), which has already resulted
-
within the RIS team at the LAAS-CNRS laboratory in Toulouse, France. The candidate will work in a multidisciplinary research environment involving expertise in artificial intelligence, applied mathematics
-
capable of automatically selecting the simulation strategy best suited to a given prediction objective, while optimizing the trade-off between accuracy and computational cost. The work will build on multi
-
. The candidate must have: - A degree in chemistry, physics or analytical sciences with good grades; - Basic knowledge of chemical kinetics; - Preference for experimental work; - Ability to work in a team; - Good
-
(transporters, chelators, nickel-binding proteins). The approach will be based on state-of-the-art analytical techniques for metal speciation and imaging, and the work will be conducted in collaboration with
-
of the International Heliophysics Data Environment Alliance. Computational work can be carried out on the LabIA platform at LISN, the computing facilities of the Paris Observatory, and the Jean Zay supercomputer. Travel
-
organisation, while MRI metabolic imaging offers a patient-scale perspective on related metabolic and invasive phenotypes. This PhD research will be carried out at the IBGC as part of the ShadowEV-GBM