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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
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, further knowledge of German (or another language spoken in Switzerland) is a plus. You should be interested to develop and strengthen your academic record as well as your industrial network. Our offer We
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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
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have previously worked on the modern history of East Central Europe. You must be fluent in English, our team's working language, and have good working knowledge of Czech, the main administrative language
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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
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) Experience in deep learning algorithms is a plus Ability to work in a highly international team and interdisciplinary project applicants are expected to have excellent language skills in English Opportunity
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
. We are assembling a team with diverse expertise and particularly encourage individuals with skill sets in at least two of the following areas to apply: demographic modeling, large language models
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-focused , contributing primarily to one of the following projects: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce
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: 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
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statistical analysis of large-scale datasets, especially metabolomics and transcriptomics. Experience with programming language (e.g. Matlab, R or Python) and statistics. Motivation to work in an international