2 mechanical "Grenoble INP" scholarships at Université de Rennes in France

PhD offer - Development of a physiological model-based analysis and machine-learning approaches for risk stratification in hypertrophic cardiomyopathy

mechanical activity at the same time. In this context, the use of mathematical models and machine learning methods can be relevant to integrate physiological knowledge in data analysis and to analyze

PhD position in synthetic organometallic chemistry and catalysis

affinity for synthetic organometallic chemistry. Previous experience in this field is a requirement. A flair for molecular catalysis is recommended, and an interest in quantum mechanics (DFT) will also be