632 structures "https:" "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Geesthacht" positions at CNRS
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
-
, to maximize science return while constraining resources usage. - Support the structuring and drafting of relevant reports and deliverables - Engage with external and internal stakeholders at different levels
-
, and the introduction of the 2DEG to gauge the magnitude of the acoustoelectric effect, completed by numerical simulations. The acoustoelectric active structure will then be integrated in photonic
-
and Swiss partners. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9001-STECOL-018/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research
-
of nanodevices and their multiple functionalities for bio-inspired computing. The team includes two permanent CNRS researchers, two Thales researchers, 4 post-docs, and 4 PhD students. Where to apply Website https
-
, retrieval algorithm, applications in hydrology) and will benefit from their knowledge and experience on the mission. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5126-ARNMIA-005
-
https://emploi.cnrs.fr/Candidat/Offre/UMR7313-SOPTRO-001/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research
-
for enzymatic reactions. A key step in using MLIP for reactivity is having a training set that includes structures of reactant, product and transition state: this construction can be achieved through an active
-
resolution of crystal structures. - Experience with glove box under argon atmosphere and eventually with air sensitive materials. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5253
-
, MultiFab, TRI-Genotoul). The project is embedded in a dynamic regional and national collaborative ecosystem focused on organ-on-chip technologies and personalized medicine. Where to apply Website https