Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
move beyond conventional stimuli-responsive materials, which merely switch between predetermined states, toward life-like materials that genuinely learn: Forming memories, consolidating them over time
-
Position Description The School of Basic Sciences at EPFL invites applications for a faculty position in Mathematics of Learning. The appointment will be at the Tenure Track level, with an expected
-
than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology Mission
-
combines flexible, location'independent part'time distance learning with an active, interdisciplinary research culture on its campus in Brig. Across five faculties ' Law, Psychology, Business & Economics
-
. Olga Fink ). IMOS develops advanced machine-learning and AI methods for complex engineering and industrial systems, with a particular focus on improving their reliability, availability, and operational
-
are computationally expensive, making them clinically impractical at scale. The solution lies in image-based, data-driven (AI) models that learn to predict personalised fracture risk directly from routine bone-density
-
-learning models on resource-constrained hardware Candidates should also have experience or strong interest in Edge AI, TinyML, embedded machine learning, neuromorphic computing, or signal processing. We
-
Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth Observation, Educational Technology, Efficient AI, Explainable AI, Haptics, Human-Computer Interaction
-
30%, Zurich, fixed-term The Professorship for Learning Sciences and Higher Education at ETH Zurich is seeking a motivated student assistant (30%) starting in October 2026. In this role, you will
-
characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal