Sort by
Refine Your Search
-
of research methods and techniques within specialist field. Experience in microscopy (e.g. SEM & AFM) and scattering methods (e.g. SAXS) would be strongly appreciated. • Proven ability to analyse complex
-
available to study these particles is the world's most powerful particle accelerator: the Large Hadron Collider (LHC), operated by the European Organization for Nuclear Research (CERN). Among the major
-
neuroscience research. The project is exclusively devoted to fundamental academic research and is conducted within the framework of publicly funded scientific research activities. Where to apply Website https
-
collaborations between the two academic partners and innovative companies in the water sector in France and the energy sector in Canada. Thesis Title: “Self-Powered Electrochemical Systems Using Micro-Gas Turbines
-
- Knowledge of molecular biology techniques (DNA extraction, qPCR) - Rigorous and reliable - Initiative and creativity - Ability to work independently and organise experimental work effectively - Good oral and
-
demonstrate good organisational and interpersonal skills. The ability and willingness to communicate with the public is an advantage. This project also requires good skills in data processing and statistical
-
. The successful candidate should demonstrate scientific curiosity, rigour, initiative, and an ability to work in an interdisciplinary environment. Experience in optics, high-speed imaging, image processing
-
or ferromagnetic as well as its competition with other correlated phases (superconductivity, charge orders etc..), we propose to use the powerful method developed in our group, based on exquisitely sensitive magneto
-
environment, infrastructures. All developed methods will be validated using real-world datasets from the Montpellier metropolitan area, by assessing their ability to enrich existing GIS databases, reduce
-
of the century, which could be further amplified by a slowdown in the Atlantic Meridional Overturning Circulation (AMOC). This PhD is part of the French-Brazilian project AMACLIM (https://www.lsce.ipsl.fr/anr