Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- ETH Zürich
- Empa
- Nature Careers
- Paul Scherrer Institut Villigen
- University of Zurich
- ETH
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- Adolphe Merkle Institute
- EPFL
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- Ecole Polytechnique Federale de Lausanne
- HES-SO Genève
- CERN
- European Magnetism Association EMA
- Friedrich Miescher Institute for Biomedical Research
- Graduate Institute of International and Development Studies, Geneva;
- Idiap Research Institute
- Inselspital Bern
- School of Architecture, Civil and Environmental Engineering ENAC, EPFL
- University of Geneva
- University of Zurich, Institute of Education
- Università della Svizzera italiana (USI)
- Universität Bern
- 15 more »
- « less
-
Field
-
therapies. Project background We are seeking a highly motivated Bioinformatics Scientist / Data Scientist to conduct multi-omics data analysis. This individual will play a key role in analyzing high
-
interdisciplinary and multicultural research teams, bridging the gap between data science and energy engineering Proficiency in English is required Workplace Workplace We offer A young, dynamic and interdisciplinary
-
60%-80%, Zurich, fixed-term Are you an ambitious data scientist with strong analytical and numerical skills, and expertise in geomatics, remote sensing, and data processing? We invite you to join
-
industrial partners to tackle advanced modelling, simulation, sensing, and data analysis challenges in engineering systems across sectors. Project background The COMBINE Doctoral Network aims to train a cohort
-
. Project background Misinformation has severe negative effects on personal decision-making and societal integrity. In today’s information environment, misinformation is rampant. Over the past years
-
on our work and constantly improve it. We believe that the world can be improved with open data. Project background As part of our Open Science team, you will support us in developing efficient data
-
the following information as a single PDF: a statement of interest laying out your motivation for this position and your main scientific achievements to date (max. 2 pages) CV diplomas and course transcripts the
-
Academic transcripts A short statement of motivation and research interests Contact information for three references Please note that we exclusively accept applications submitted through our online
-
. Isabel Z. Martínez and is based on rich administrative and survey data from Switzerland. The position offers the opportunity to gain insight into rigorous empirical research and to contribute actively
-
phosphorus transport and eutrophication, using monitoring data from the EU Water Framework Directive to calibrate and validate advanced sediment routing and modelling approaches. The research will also design