Sort by
Refine Your Search
-
Listed
-
Employer
- ETH Zurich
- Nature Careers
- University of Basel
- University of Zurich
- ETH Zürich
- ;
- Academic Europe
- ETH ZURICH
- Empa
- Friedrich Miescher Institute for Biomedical Research
- Graduate Institute of International and Development Studies
- Paul Scherrer Institut Villigen
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Bern
- 4 more »
- « less
-
Field
-
(master's level or above) or equivalent, in Computer Science, Software Engineering, Computational Science, Physics, Astrophysics, or a related field. Programming Skills: Proven proficiency in programming
-
highly supportive infrastructure, including state-of-the-art core facilities. Main tasks – Research: Establish a research program in the field of eukaryotic gene expression and/or functional genomics; use
-
. Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science (data science, computer science, economics, social sciences, etc.) Experience programming in R
-
to ensure alignment with institutional standards. The working language is English. This is a part-time position (40–60%) and is initially limited to one year, with the possibility of extension. The starting
-
100%, Zurich, fixed-term The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP81 project
-
Python-based agent pipelines (e.g., LangGraph) and integrate diverse large language models (LLMs) and multimodal vision models. Additionally, you'll build and maintain data flows specifically tailored
-
histological datasets. Programming skills in languages such as R and/or Python. Experience with colorectal cancer research is an advantage. Ability to work independently and collaboratively in a fast-paced
-
practical programming experience. German language skills are a plus, as the retrieved documents will be written in German. Experience with Large Language Models (LLMs) and/or RAG deployment, for example with
-
proteomics approaches for the analysis of post-translational modifications (e.g. phosphorylation, ubiquitination), or MS-based spatial proteomics. Basic programming skills and glycoproteomics experience
-
natural language processing to algorithmically detect hate speech across a variety of online venues (newspaper and social media). To do so, we need an up-to-date, high-quality corpus of training data. Job