Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- Empa
- University of Zurich
- Nature Careers
- ETH Zürich
- Paul Scherrer Institut Villigen
- University of Geneva
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Bern
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- ;
- Academic Europe
- CERN - European Organization for Nuclear Research
- EPFL
- EPFL FSB
- ETH ZURICH
- ETHZ & University of Zurich
- Ecole Polytechnique Federale de Lausanne
- European Magnetism Association EMA
- Fluxim AG
- Friedrich Miescher Institute for Biomedical Research
- Graduate Institute of International and Development Studies
- Prof. Dr. Ricarda Toerner
- University of California
- University of Fribourg
- 16 more »
- « less
-
Field
-
80%-100%, Zurich, fixed-term The Development Economics Group (DEC) at ETH Zurich is dedicated to empirical economics research that can inform more effective policies to reduce global poverty and
-
university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop
-
EPFL is a leading university with strong emphasis on basic sciences, engineering and life sciences. Research within its Institute of Chemical Sciences and Engineering (ISIC) includes synthetic
-
-bleaching of the fluorescent dyes involved, which ends the experiment prematurely, rendering many biological questions inaccessible. To bypass this limitation, our group has developed DyeCycling/FRET, where
-
description Develop machine learning pipelines for time series processing with a focus on event detection and real-time interaction. Investigate distribution shifts in physiological data and apply continual
-
research agenda to develop safe and effective measures to curb harmful online content and strengthen public discourse. As part of our efforts, we are using state-of-the-art machine learning techniques and
-
We are seeking a highly motivated and interdisciplinary Postdoctoral Researcher to join our team in developing a cutting-edge nutrient prediction platform. This project integrates machine learning
-
conditions are internationally highly competitive and according to ETH standards . We’re looking for candidates interested in: Full-stack software development, with a focus on mobile applications Health
-
. The focus is on developing AI-supported, sensor-based solutions for real-time monitoring and optimization of manufacturing processes. These solutions aim to assess process conditions during production
-
supported by experts on all these disciplines working within the project and the role of the PhD will be more specifically to develop metrics to assess the regenerative capacity of Building projects