This course will give a unified presentation of modern methods for causal inference. We focus on concepts, and we will present examples and ideas from various scientific disciplines, including medicine, computer science, engineering, economics and epidemio ...
La médecine personnalisée, préventive, prédictive et participative bouleverse les connaissances médicales établies, ainsi que les configurations sociales et politiques de la médecine. Ce cours analyse ces processus à travers une approche interdisciplinaire ...
Planning Your Scientific Journey: Being successful as a scientist requires more than acquiring knowledge and developing experimental skills. It also requires: (1) asking a good scientific question, (2) establishing a clear plan of action, and (3) seeking a ...
Four experienced scientists will guide students in nanoparticles (NPs) characterization world with different approaches, from laboratory-based characterization techniques to X-ray scattering and electron microscopy. ...
This conference "Stress and Resilience: Exploring New Horizons in Science and Applications" brings together leading scientists from around the world who will share their latest findings on the fields of stress and resilience. A broad range of topics will b ...
This course covers recent methodology for causal inference in settings with time-varying exposures (longitudinal data) and causally connected units (interference). We will consider theory for identification and estimation of effects, illustrated by real-li ...
Theoretical and practical expertise is gained about the microscopy of spin structures and magnetic configuiations down to the sub-nm
length and sub-ns time scales such as transmission electron microscopy, x-ray and light scattering, magnetic dichroism, and ...