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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
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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
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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
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structural data, which requires laboratory based as well as on-site analyses. The main objectives are as follows: Compile legacy data of stained glass windows, this requires extensive data curation and
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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
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technique achieving an isotropic precision of 4 nm. The project builds on the integration of structured illumination to encode the axial position of single molecules into the phase of a modulated signal
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(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
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Description Magneto-transport study of topological insulators up to 70 T: toward Quantum Anomalous Hall effect in topological hetero-structures The main property of topological materials is the existence
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at CRHEA (Valbonne, 06). It will focus on the epitaxy of these new structures using MBE and MOVPE techniques and their structural and electrical characterizations which will be validated by the partners
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and develop a nonlinear absorber to control very low-frequency vibrations in an underwater structure. The project will have a scientific focus on studies in vibroacoustics and nonlinear dynamics from