Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
research meetings • Redacting reports, scientific papers, oral contributions in conferences, workshops/seminars Skills : Knowledge : • Master's degree, engineer's diploma or a PhD in the field of micro
-
Description A traduireThe PhD student will be integrated into the Psychology and NeuroCognition Laboratory (LPNC, CNRS UMR 5105) at Université Grenoble Alpes (UGA). The LPNC is a joint research unit affiliated
-
27 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire des technologies de la microélectronique Research Field Engineering Physics Technology Researcher Profile First Stage
-
exotic species. The PhD candidate will be affiliated with this team. From individual to ecosystem: growth, filtration, and ecological impacts of the invasive ecosystem engineer quagga mussel in Lake Geneva
-
Research Infrastructure? No Offer Description The PhD will take place at LAMIH-UMR CNRS 8201, Université Polytechnique Hauts-de-France, Valenciennes, France. It is part of the JCJC ANR TeCAPE project
-
(approximately 280 engineers and technicians) in all the major fields required to design, develop, and implement the experimental devices needed for its scientific activities: mechanics, electronics
-
-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
-
28 Aug 2025 Job Information Organisation/Company CNRS Department Centre d'Énergétique et de Thermique de Lyon Research Field Engineering Chemistry Physics Researcher Profile First Stage Researcher
-
Contexte : Situation de l'emploi et conditions : The PhD project is associated with the Paris RÉUSS-I project: inteGREEN, funded by ANR France 2030 PEPR Ville Durable et Bâtiment Innovant (VDBI). inteGREEN
-
, without the use of simulation software familiar to process engineers. In this thesis, we aim to: - Propose generative models for other types of cycles, based on existing models. To do this, we could use