Sort by
Refine Your Search
-
21 Mar 2026 Job Information Organisation/Company CNRS Department Institut de Chimie et des Matériaux Paris-Est Research Field Chemistry Chemistry » Computational chemistry Researcher Profile Recognised Researcher (R2) Application Deadline 10 Apr 2026 - 23:59 (UTC) Country France Type of...
-
evaluation of virtual tutors (recommendation systems) by working at the intersection of education sciences, psychology, and data engineering. The main tasks of the successful candidate will be: - Designing and
-
. The position comes with no teaching duties, but teaching is possible. The workplace is the Institut de Recherche Mathématique de Rennes (IRMAR), in France. There will be regular collaborations with professors
-
description: We are seeking a postdoctoral researcher with solid expertise in device physics modelling, compact model development, and/or circuit simulation. The successful candidate will: • Develop physical
-
reaction. The researcher will: - Prepare Fischer-Tropsch catalysts; - Characterize catalysts using a combination of physicochemical methods (XRD, FTIR, TPR, XPS, imaging); - Conduct Fischer-Tropsch reactions
-
The postdoctoral researcher will join the "Network Dynamics & Computations" team led by Srdjan Ostojic and develop research projects on modeling neural circuits and their role in behavior. The work will focus
-
and more generally in the scientific life of HEC Paris. We expect the candidate to aim at publishing their research in the best scientific journals and conferences. There is no teaching duty attached
-
an atom interferometry experiment using a Bose-Einstein condensate manipulated by an optical lattice. He or she will develop optimal control protocols to develop a cold-atom gradiometer. This project will
-
difficult. This 24-month postdoctoral project aims to develop innovative strategies for the chemical modification of PE under mild conditions. The approach will focus on the introduction of functional groups
-
motivated postdoctoral researcher to develop and apply imaging-based and computational approaches to identify predictive nuclear signatures of cell fate. The project combines experimental and quantitative