166 evolution "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" PhD scholarships in France
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functional dark matter, offering an unprecedented view of the molecular tricks used by the microbial world. The ERC MicroMet team, led by Dr. Tristan Wagner (https://www.ibs.fr/en/research/assembly-dynamics
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functional dark matter, offering an unprecedented view of the molecular tricks used by the microbial world. The ERC MicroMet team, led by Dr. Tristan Wagner (https://www.ibs.fr/en/research/assembly-dynamics
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visit the website: https://www.is2m.uha.fr/ . The thesis will be attached to the doctoral school of physics and physical chemistry (ED182), which is co-accredited between Unistra and UHA. The doctoral
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expected to present his/her scientific findings at national and international conferences and to write research articles based on the obtained results. Where to apply Website https://emploi.cnrs.fr/Offres
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 8 days ago
advances in the field of paleogenetics have opened promising perspectives to measure the impact of these dynamics on the epidemiology and evolution of pathogens in the past, by allowing the identification
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the minimum and maximum magnitudes of past regional earthquakes. One of the key challenges of the FaSiRé project is to determine the age of regional deformations, taking into account the possible evolution
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. Valyaev, manuscript in preparation. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR8241-VINCES-004/Default.aspx Requirements Research FieldChemistryEducation LevelMaster Degree
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processes affecting both the surfaces and the ancient markings. This research will thus contribute to the development of morphogenetic mapping of rock surfaces, synthesizing all processes that have affected
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: Evolution of fluid transport properties and element (Li, Sb) mobilisation in hot and supercritical systems. Doctoral Candidate (DC) Number: 06 Work Package Number: 3 Research Field(s) (EURAXESS classification
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explicitly incorporating these uncertainties through "soft constraints," in order to produce more reliable and relevant simulations. This PhD project is part of task 2.2 "Development of Artificial Intelligence