Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
interdisciplinary project applicants are expected to have excellent language skills in English Opportunity to work on a highly innovative project within a highly interdisciplinary environment Fixed contract (up
-
in the fulfillment of tasks Good communication skills, including excellent knowledge of spoken and written English (II) Desired skills and qualifications: Familiarity with analysing travel behaviour
-
in a stimulating environment • A very competitive salary and a comprehensive employment conditions • Supportive mentorship and a vibrant, international academic community. Application materials Only
-
iterative validation. The project combines the generalization capabilities of large language models with symbolic constraints and formal verification backends to ensure generated properties are auditable
-
Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
in socio-ecological research and combining qualitative and quantitative methods. You are fluent in at least one Swiss national language and English, both written and spoken, and have successfully
-
neutral-atom quantum technologies and many-body quantum physics Ability to work both independently and collaboratively Good communication skills in English (German is a plus) We offer A highly creative and
-
Publish scientific articles in international peer-reviewed journals Actively participate in national and international conferences Implement measures for science communication Acquire third-party funding
-
on the Sisslerfeld Living Lab as a testbed for innovative mobility and energy solutions, the project couples sufficiency thinking with renewable energy community planning, developing methodological innovations
-
Good communication (in English) and teamwork skills We are also looking for all or a subset of the following additional qualifications: A solid background in chemistry and spectrometric analyses
-
: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce synthetic responses to psychological experiments and how these compare