39 algorithm-development-"University-of-Surrey" Postdoctoral positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
position is available in the Functional Inorganic Materials Group (KovalenkoLab) at ETH Zurich, Department of Chemistry and Applied Biosciences. Project background The project aims to develop a conceptually
-
-native plant species in mountain ecosystems based on a novel global dataset. In addition, the candidate is expected to join field campaigns in the Swiss Alps and will have the opportunity to develop
-
Thun explores the possibility of high throughput materials development. In the context of our Materials Vision Tech initiative, we focus on multi-element gradient thin film systems, i.e. their rapid
-
recruiters and not by artificial intelligence. We offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change
-
. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
-
opportunities to develop their skills in scientific communication through presentations at conferences and writing scientific papers as well as in management by co-supervising bachelor and master thesis
-
Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
methods for image classification including machine learning and deep learning. You will develop clear workflows that allow for regular update of the derived models and maps. Furthermore, you will work
-
. Utilizing a combination of experimental and computational approaches, we develop and characterize novel functional materials and devices driven by robust nanoscale quantum effects. We are currently seeking a
-
, particularly on measurements and searches using jet substructure and development of advanced techniques in particle tagging, including applications using machine learning, and are expected to take leading roles