130 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at CNRS in France
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
at the Center for Theoretical Physics in Marseille, France. Wikipedia is the classical example of a successful, large-scale collaborative project. Its production, structure and functioning have emerged through
-
existing structural and functional MRI data, acquire new data in collaboration with clinical researchers, and prepare publications and conference presentations. - Study preparation - Data acquisition (MRI
-
together expertise in physics, chemistry, nanoscience, and materials engineering. For more information about IS2M, please feel free to visit the website: https://www.is2m.uha.fr/ . The PhD candidate (M/F
-
industrial partners. - Construction of electrochemical cells incorporating specially designed magnetic field sources, including quantitative measurement of local magnetic fields. - Implementation of tools
-
(MESR). The Marie Sklodowska-Curie GLYCOCALYX doctoral network (https://www.glycocalyx.org/ ) brings together 15 European partners implementing a multidisciplinary research and training program to study
-
screening. - Put the pipeline into production and test it on research topics from the laboratory and a collaborating team. The research will be conducted at the Molecular Microbiology and Structural
-
of colonial marine vertebrates (albatrosses, penguins, sea lions) reproduce in simple, structured communities, we are testing key hypotheses concerning the processes affecting the eco-epidemiological dynamics
-
to structured programming in C++ and Python - knowledge of linux / unix operating system - fluent knowledge of spoken and written English - fundamental knowlegde of machine learning (and statistics) - good level
-
on annotated structures, which could eventually lead to automated comparative grammars. The mission is funded by the ANR Autogramm research project (https://autogramm.github.io/ ). Autogramm focuses on exploring
-
Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning