Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
80%-100%, Zurich, fixed-term Gramazio Kohler Research, the Chair of Architecture and Digital Fabrication at the Institute of Technology in Architecture, operates at the forefront of architectural
-
40%-60%, Zurich, fixed-term As part of the curriculum revision of the Bachelor’s and Master’s degree programme in Architecture, the Department of Architecture (D-ARCH) at ETH Zurich is looking
-
Postdoctoral Researcher – Ontology and Knowledge Graph Engineering, you will be contributing to the ongoing development of a general and interoperable modular architecture to build federations of simulation
-
(such as JAX/PyTorch/TensorFlow) Strong background in modern AI architectures, especially transformers and multimodal models Experience with computer vision and natural language processing Experience with
-
should have: Master's degree in Integrated Building Systems (MIBS), architecture, urban planning, civil engineering, environmental science or a related field. Strong computational skills with experience in
-
Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with
-
Network Architectures based on the available system resources (e.g., communication, computation, energy). Communication-efficient knowledge exchange among networked federated large models. These research
-
trait-associated sequence variation. We offer a PhD position at the interface of computational and statistical genomics, and bioinformatics. Project background Cattle are an interesting «model organism
-
100%, Zurich, fixed-term Design++ is the Center for Augmented Computational Design in Architecture, Engineering and Construction (AEC) at ETH Zurich. The center's vision is to remove collaboration
-
spectrometry data analysis or metabolomics is highly desirable Experience with cloud computing platforms and distributed computing tools Experience with deep learning architectures such as CNNs, LSTMs, and