Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Teaching Specialist-III (RTS-III) position is immediately available to conduct research in the area of mycobacterial host-pathogen interactions and COVID-19 pathogenesis studies using animal models under
-
Offer Description Scientific Officer - Statistician EFSA/X/AD/2025/05 EFSA - European Food Safety Authority Stockholm, Sweden The European Food Safety Authority (EFSA), based in Parma, Italy is looking
-
Offer Description Scientific Officer - Statistician EFSA/X/AD/2025/05 EFSA - European Food Safety Authority Berlin, Germany The European Food Safety Authority (EFSA), based in Parma, Italy is looking
-
Infrastructure? No Offer Description Scientific Officer - Statistician EFSA/X/AD/2025/05 EFSA - European Food Safety Authority Prague, Czech Republic The European Food Safety Authority (EFSA), based in Parma
-
Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
-
based on training and experience. This position will perform research on toxicological evaluation of aerosolized environmental agents to understand cellular interactions and exposure risk. This position
-
data-driven methods (optimisation, generative AI, agent-based modelling, machine learning). Our work provides decision support for policy makers, industry stakeholders, and researchers by delivering
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
distance of their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC’s IE that is redefining how data is used to tackle
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
distance of their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC’s IE that is redefining how data is used to tackle
-
streamline processes, reduce handoffs, and improve agent efficiency. Contributes to the development and maintenance of knowledge articles, job aids, and training content based on recurring Tier 2 issues