Sort by
Refine Your Search
-
on the development of an Urban-scale Building Life-cycle Carbon Calculator in the form of a web app using relevant open-access technologies such as Cesium ion. This carbon calculator web app will combine
-
100%, Zurich, fixed-term The Engineering Design and Computing Laboratory is offering a fully-funded post-doctoral position to work on cutting-edge research projects in AI-based computational design
-
creation and taxation of corporate profits in the digital economy The effect of the digital economy on tax competition Artificial intelligence and fiscal systems The work might be based on theoretical
-
artifical intelligence in strategic management. A strong interest in and ability to collaborate effectively with members of the Chair's multidisciplinary and international team. Excellent written and verbal
-
directly atop the CMOS chips. Job description Therefore, it will be necessary to develop technologies and methods to minimize or avoid light-induced artifacts on the HD-MEAs, to establish and program a setup
-
the field of Computer Science or similar Solid background in the foundations of reinforcement learning Proven research experience with first-authored publications at peer-reviewed conferences (ICML
-
candidate with a strong background geology/geomorphology, or a related discipline, a strong interest for evolutionary biology, and who is interested in bridging field data, computational modeling, and large
-
imaging, single cell tracking and quantification, large volume 3D bone marrrow imaging with single molecule sensitivity, and ai-supported computational analysis. Job description We are seeking a highly
-
100%, Zurich, fixed-term The Robotic Materials group is looking for a highly motivated postdoc for the topic of soft optical sensory skin. The Robotic Materials group headed by Prof. Hedan Bai at Department of Materials was established in October 2023. We are an international and...
-
PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials