21 evolution "https:" "https:" "https:" "Goethe University" positions at Universite de Montpellier
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transdisciplinary. Working closely with the Pôle Biologie Santé and the Collège Doctoral de l’Université de of Montpellier University, CBS2 provides high-level scientific training and professional development
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will contribute to the epidemiological analysis. The PhD research will be carried out at IDESP, a joint research unit whose scientific objective is to gain a better understanding of the development and
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applications in personalized medicine. - main mission: The successful candidate will join a multidisciplinary team to explore the biophysical mechanisms of protein aggregation and contribute to the development
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addressing prototype and its integration into existing robotic structures developed at LIRMM (Montpellier – France); realization of a compact soft robotic prototype. - Control Development of sequential control
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the impact of diet and physical activity on the development of a beneficial gut microbiota, capable of limiting uraemic sarcopenia in patients with CKD. The secondary objective is to identify human
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of wood formation (CEMACam project). - main mission: The candidate will be tasked with continuing the development of a wood formation simulation model initiated during the project. This 'vertex' model
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of Montpellier , the school offers a wide range of training courses to meet the needs of doctoral students and prepare them for post-doctoral careers in the best possible conditions. Where to apply Website https
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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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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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models are deeply rooted in real-world biological data. The collaborative approach allows for the development of predictive models that bridge the gap between theory and experiment, with a focus on high