Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Empa
- University of Basel
- ETH Zürich
- ETH Zurich
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- EPFL FSB
- Nature Careers
- University of Zurich
- Academic Europe
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- EPFL - Ecole polytechnique fédérale de Lausanne
- European Magnetism Association EMA
- Universität Basel
- 3 more »
- « less
-
Field
-
their careers in a diverse and inspiring university environment. We offer attractive employment conditions in an intellectually stimulating environment (employment category: POSTDOC 5). The position is initially
-
research. Your position Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented generation [RAG], prompt engineering). Plan and analyze
-
utilization. The successful candidate will play a significant role in the EU‑funded TIMBERHAUS project (www.timberhaus.eu). Your tasks Develop machine learning models and computer vision algorithms for wood
-
-collection costs while maintaining validity for marketing and opinion research. Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented
-
Preparation of results for publishing and presentation at conferences Development of models for health and environmental impact assessment Your profile We are looking for a candidate with: PhD in the area of
-
thinking with renewable energy community planning, developing methodological innovations that bridge quantitative modeling and qualitative approaches. Your tasks Develop and apply optimization and simulation
-
University of Basel, Condensed Matter Theory and Quantum Computing Position ID: University of Basel -Condensed Matter Theory and Quantum Computing -POSTDOC [#21540] Position Title: Position Type
-
, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement
-
models and automation. We offer In this role, you will: Have the freedom to develop your research ideas and skills. Have the opportunity to collaborate internally with other ETH faculty as
-
modeling. Transcriptome recording and cellular history reconstruction We are advancing our CRISPR-based transcriptional recording method (Schmidt, Nature, 2018; Tanna, Nature Protocols, 2020) that encodes