Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Carnegie Mellon University
- Eindhoven University of Technology (TU/e)
- Heidelberg University
- Aarhus University
- Baylor College of Medicine
- Charité – Universitätsmedizin Berlin
- Cornell University
- Delft University of Technology (TU Delft)
- Högskolan i Skövde
- Karolinska Institutet (KI)
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Mohamed bin Zayed University of Artificial Intelligence
- Pennsylvania State University
- Technical University of Munich
- U.S. Department of Energy (DOE)
- University College Dublin
- University of Electronic Science and Technology of China (UESTC)
- University of Oxford
- University of Oxford;
- University of Virginia
- VIB
- Yale University
- 13 more »
- « less
-
Field
-
multidisciplinary research programme, you will contribute to the development of innovative computational and systems biology approaches to uncover the mechanisms underlying protection against infectious diseases and
-
multidisciplinary research programme, you will contribute to the development of innovative computational and systems biology approaches to uncover the mechanisms underlying protection against infectious diseases and
-
1 Sep 2026 Job Information Organisation/Company Charité – Universitätsmedizin Berlin Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 11 Sep 2026
-
spatial transcriptomic data. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex
-
for individuals, organizations or society. You will be part of the SAIL research group, whose research activities focus on AI-based modeling of complex systems, uncertainty management in deep learning, visual
-
education, training, and career development. Baylor College of Medicine is located at the Texas Medical Center, which is the largest medical complex in the world and provides an ideal environment
-
About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
-
23 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Engineering » Electrical engineering Engineering » Mechanical
-
thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
-
engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows, reactive materials, biological systems, plasmas, and complex engineered processes