Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
SJCRH Position Overview: The Department of Information Services is seeking a highly skilled and motivated faculty- level Clinical Informatics Researcher to join our dynamic clinical informatics and
-
on the production and in vitro characterization of several enzymes in parallel (proteases and hydrolases). This research programme is part of an international effort to answer the call for the development of new
-
) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
-
the display and the distribution of processed data. Related projects and responsibilities will include: Creation of artificial intelligence algorithms that effectively integrate molecular, pathology/image, and
-
-derived organoids and assembloids, engineered ECM environments, and in vivo mouse models, working in close partnership with the lab's computational team to generate data-rich spatial multi-omics datasets
-
(Institute for Research on Cancer and Aging, Nice); ISA (Institut Sophia Agrobiotech) and LP2M (Laboratoire de PhysioMédecine Moléculaire) as well as the Inria research institute for computer science and
-
fellow to join our translational research program in macrophage biology/immunology. Our team takes a systems approach—integrating multi-omics, network science, machine learning, and comprehensive in vitro
-
website). We encourage applicants to suggest new ideas and/or new methodological approaches that could advance our existing research program. The selection of the fellows will be made in a two-step process
-
at Westlake University actively promote cross-disciplinary research and there are ample opportunities to combine research interests from other Ph.D. programs or from any of the four schools' program research
-
: The Artificial Intelligence Regulatory Science Program conducts regulatory science research ensuring safe and effective AI/ML-enabled medical devices across rapidly expanding healthcare applications including