Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
3 May 2024 Job Information Organisation/Company LIPHY UMR5588 CNRS Univ. Grenoble Alpes Research Field Physics » Biophysics Researcher Profile First Stage Researcher (R1) Country France Application
-
Aix-Marseille University | Aix en Provence, Provence Alpes Cote d Azur | France | about 2 months ago
Offer Description Supervisors : Mathias MONNOT : mathias.monnot@univ-amu.fr Emilie CARRETIER : emilie.carretier@univ-amu.fr Subject description : Crystallization is one of the major
-
18 Apr 2024 Job Information Organisation/Company Univ. Grenoble Alpes Department Grenoble-INP Research Field Chemistry Engineering Other Researcher Profile First Stage Researcher (R1) Recognised
-
of economically viable elements (i.e., He, H) within geothermal systems. Supervisors: Raphaël Pik (CNRS – Université de Lorraine, raphael.pik@univ-lorraine.fr ), David Bekaert (Université de Lorraine) Co
-
Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The applicant will teach for undergraduate (i.e
-
of the city, with field work in East Africa, collaborative work at Univ. of Florence (Italy) and at ACRI-ST (Sophia Antipolis, France). As part of the TALENTS Doctoral Network, the successful applicant
-
have to develop algorithms to integrate omics data using molecular interaction networks and random walks approaches. One of the first goals is to identify 'silent players', i.e. the genes
-
the necessary tools to: 1) Fabricate and characterize micro-structured cellular membranes made from dehydrated plant scaffolds using soft lithography, optical microscopy, nanometrology (i.e. profilometry, AFM
-
, i.e. media consisting solely of clay particles. It was thus possible to demonstrate the link between particle orientation and water diffusion anisotropy by combining experiments and theoretical
-
of the scales of analysis. The challenge is to produce a robust method of quantitative multi-criteria analysis, i.e. one that can withstand the uncertainty in the data and the increase in statistical