Sort by
Refine Your Search
-
Digital Twins for Human Learning. Project background In cognitive science, it is common practice to use cognitive models to understand human thought processes – including human learning. Large language
-
100%, Basel, fixed-term The highly competitive Bio-Engineering Systems for Therapeutics (BEST) postdoc program, part of the Next-gen Bioengineers initiative, is run jointly by ETH Zurich and Roche
-
artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental
-
of key novel optical components. The primary objective of the PhD is to actively participate in the instrument construction phase, leading the design and manufacturing of key subsystems, and contributing
-
The PhD student will play a key role in the installation, commissioning, and early scientific exploitation of the DUET system. The scientific focus of the project is to leverage simultaneous visible
-
for low-power DC supplies with a very high efficiency and a very wide range of input voltages. Such supply systems are required for applications such as supplying actuators and sensors in facility
-
sciences. The approach here is as follows: the origin of life is understood not as a sudden coincidence, but as a gradual process. The researchers are investigating how planetary conditions allow functional
-
scientific and engineering workloads are no longer just large; they are complex, data-intensive, and highly diverse, meaning they push existing infrastructure to its limits. This position is funded via
-
Containerized and Kubernetes-based service deployment and operations Large-scale machine learning and LLM workflows (e.g., PyTorch, Megatron, pre-training, fine-tuning, inference) Storage and data systems (e.g
-
that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and