Sort by
Refine Your Search
-
species in the interphases for an in-depth understanding of the electrochemical processes that govern the next generation battery performances. Such a major effort is intimately linked to the use
-
Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
Process: Interested candidates are invited to submit a detailed CV and a list of publications. Please send your application by email to Marco Antonio Mendoza at mmendoza@genoscope.cns.fr . Website
-
-derived substrates, focusing on yield, selectivity, and stability. Investigation of reaction mechanisms and charge transfer processes to identify scientific bottlenecks and propose strategies
-
, optics). Perform advanced optical and electrical characterizations. Test fabricated devices. Communicate results internally. Document processes, write technical reports, and contribute to intellectual
-
processes. For example, in sites of higher actual evapotranspiration (AET) where water and energy are more available, individuals should be able to withstand a larger array of soil-based stressors, including
-
from laboratory staff and may also supervise one or more Master's (M2) students • Processing of the obtained concentrations (Choristoneura fumiferana DNA) to calculate outbreak frequencies • Comparison
-
the ASTRID ProCoPe project (Collective Processes for Power Components), led by the III-V Lab, which aims to fabricate power components with diamond heat sinks, based on Gallium Nitride (GaN), and to develop
-
metabolism and hydraulic processes, via signaling mechanisms that remain to be elucidated. The researcher's specific objective will be to characterize the molecular and cellular basis of these mechanisms and
-
-month postdoctoral contract focusing on data processing and the retrieval of information on aerosol heterogeneity from photometric observations made by the AERONET network. This position is part of a
-
. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform