Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
-quantitative methods for decision support for sustainable innovation. Your tasks With the PhD work, we plan to adapt and advance the SSbD framework in the area of green electronics, with a special focus on bio
-
responses approximate human behavior. The project involves a collaboration between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain
-
Doctoral School candidates must submit their application file to the doctoral program of their choice within the deadlines specified by the latter. Some programs publish open positions related
-
of research funding and policy. You will collaborate with leading researchers, research programme managers and policy experts and contribute directly to the effectiveness of the ERC’s evaluation processes
-
Group: Analytics & Informatics for Child Health (AICH) Starting date: As soon as possible or upon agreement Duration: 2 years, with possibility of extension The Analytics & Informatics for Child
-
Transcriptomics Specialist (this position); Image Analysis Specialist; Computational Neuroscience and Data Analysis Specialist. These positions will work closely together and will support a broad user base across
-
Topic A: Automation and Monitoring for an Internal Development Platform Abstract The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research
-
The NOMIS Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster
-
of interdisciplinary research, teaching, and innovation projects Drive the growth of the membership program, talent pipeline, and spin-off initiatives Manage internal teams and ensure the effective functioning
-
the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of