192 evolution "https:" "https:" "https:" "Dana Farber Cancer Institute" PhD positions in France
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apply Please contact Prof Joana Vitte (https://orcid.org/0000-0002-3344-9408 ) by email. Interested applicants should send a CV and letter of motivation to joana.vitte@inserm.fr Additional comments
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PRIME (Projet de recherche inter-instituts multi-équipes) interdisciplinary CNRS programme (http://www.cnrs.fr/mi ). The PhD candidate will be co-supervised by Florence Niedergang (Team « Biology of
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position is embedded, will investigate the health impact of nanoplastic pollution on breast cancer development. At the interface of colloidal physical-chemistry and cell biology, it will examine how
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ultrasound, Laboratoire d'imagerie Biomedical, LIB , https://www.lib.upmc.fr/ ) and nanoparticle engineering ( PHENIX Laboratory https://phenix.cnrs.fr/ ). The LIB is located in the Centre de Recherche des
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, C.; Pineau, N.; Perrier, A. J. Chem. Theory Comput. 2020, 16 (11), 7017–7032 https://doi.org/10.1021/acs.jctc.0c00762 . (b) Villegas, O.; Serrano Martínez, M.; Le Bras, L.; Ottochian, A.; Pineau, N
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reactions. The recruited QUANTASTIC PhD student will: -Contribute to the development of an experimental setup, -Develop and evaluate different kinetic models, including runaway scenarios, -Work in close
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additional documents required by Doctoral School 60 (Territories, Time, Societies and Development): ranking in Master’s Year 2 (semester 1) / number of students, ranking in Master’s Year 1 / number of students
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as well as new theoretical tools. Its mission is to provide excellence in scientific research and development, and it maintains strong links with industry. As part of a collaboration contract between
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methods to fail and necessitates the development of new approaches. - main mission: Develop and analyze structured partial differential equations models to investigate the mechanisms driving bacterial
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 5 days ago
Perform comparative analyses and ensure interpretability, robustness, and generalization of the models Collaborate with interdisciplinary partners for biological validation and methodological development