Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- Nature Careers
- Empa
- ETH Zürich
- University of Zurich
- University of Zurich Blockchain Center
- UNIL - Faculté des SSP
- ; Ecole polytechnique federale de Lausanne - EPFL
- EPFL
- Eawag
- Fachhochschule Nordwestschweiz FHNW
- Friedrich Miescher Institute for Biomedical Research
- INSAIT - The Institute for Computer Science
- UniDistance Suisse
- Université de Genève
- 6 more »
- « less
-
Field
-
health. We are looking for a proactive and skilled Software Engineer to join the newly forming research group Analytics and Informatics for Child Health (AICH) at the Department of Biomedical Engineering
-
scientific and engineering computing, and explores commercial pathways for software innovations. If you are looking for a role that blends technical excellence, leadership, and business strategy, we would like
-
at ETH Zurich and associated with the ETH AI Center. We are an interdisciplinary group at the intersection of chemistry and computer science. Our mission is to accelerate chemical discovery using digital
-
afterwards. You will work closely with our research team to implement a new version of our RAG-based chatbot. Profile The ideal candidate will be a computer or data science student, or a student with extensive
-
their scientific skills. The candidate should be currently enrolled in a life sciences program (e.g., BSc or MSc).
-
Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical challenges. Our core research topics include but not limited to the following...
-
(SCI), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and
-
science for collecting ecological data and engaging the general public. We conduct projects and maintain long-term monitoring studies in forest and Alpine field sites in the USA (Washington State) and
-
Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by
-
studies, science and technology studies, digital humanities, computer science, literary studies, philology, cultural studies, history and philosophy of science and technology, information studies, or other