480 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Babes Bolyai University" positions at CNRS in France
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their spatial patterns in varying environmental conditions. The successful candidate will integrate to the research unit « Microbial Oceanography - LOMIC : http://lomic.obs-banyuls.fr » in Banyuls sur mer, and
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to the scientific and technological development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation
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equipment of the Institut Curie research team. Study of the mechanisms for suppressing proliferation in polyploid cells Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR144-EDWNOR-005
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the network, as well as with academic and non-academic partners. General information about the CLIMES project is available at: [https://www.climes.se/climesdn/ ](https://www.climes.se/climesdn/ ) All working
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wave enantioselective electron paramagnetic resonance (TWEEPR). The successful candidate will contribute to the development of novel GHz experimental techniques within the Magneto-optics team
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The tasks of the position are as follows: 1) Development, characterization
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media requires the development of approaches targeting intermediate scales of matter, between the nanometer and the micrometer, using both experimental tools for synthesis and characterization, often in
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, as well as to the development of a structured database generated from ab initio calculations and enriched through machine learning approaches. The objective is to develop predictive tools to analyze
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of understanding cirrus clouds in climate studies. We are seeking postdoctoral researchers to contribute to our mission of advancing knowledge on how aerosols influence cirrus formation and their evolution, under
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of the world's oldest medical schools. (https://www.igmm.cnrs.fr/en/ ) The Lab: The work will be carried out in the AI for Genome Interpretation (AI4GI) group, led by Dr. Daniele Raimondi. The group focuses