Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
deploying an AI project. This includes initial problem specification, data gathering and analysis, model creation, and implementation. Applicants should be willing to learn and use agentic AI to build and
-
stakeholder manipulation across elicitation cycles, and prompt injection attacks targeting LLM-based RE agents. The research is also planned to examine how foundational requirements completeness, traceability
-
-based AI for multidisciplinary tumor boards. The successful candidate will develop LLM-based pipelines, semantic harmonization, and transformer-based temporal models on a large multimodal oncology dataset
-
research focus may include the following areas: Fine-tuning of large language models on rewards derived from social interactions or collective outcomes Evolutionary adaptations of AI agents in social
-
of the successful candidate is to perform bioinformatic analyses of metagenomic sequencing data for viruses present in wastewater (reference-based alignment pipelines, variant detection, and de novo assembly). He
-
. Familiarity with agentic AI frameworks and how curated datasets feed retrieval-augmented generation (RAG) or LLM-based co-scientist systems (e.g., LangGraph, DSPy, or equivalent). Experience with NLP techniques
-
We are offering a PhD fellowship in “Agentic AI and Foundation Models for Global Pathogen Analysis” commencing September 1st, 2026, or as soon as possible thereafter. Our group and research
-
and efficiency of life sciences research. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling
-
. This role is modeled after the OSU Extension tradition and informed by national best practices in health extension. Position Summary The Partnerships Coordinator serves as a bridge between the Appalachian and
-
collaboration with other knowledge agents, companies, public administrations and civil society to find solutions that contribute to the ICRA Research and Transformative Innovation Program (PRIT-ICRA). File UR01