Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Utah
- Cardiff University
- Northeastern University
- GESIS - Leibniz Institut für Sozialwissenschaften
- IMT Atlantique
- The Ohio State University
- University of Sheffield
- University of Texas at Austin
- Chalmers University of Technology
- Forschungszentrum Jülich
- Ghent University Global Campus
- Harvard University
- Hong Kong Polytechnic University
- James Madison University
- Nature Careers
- Rutgers University
- The University of Chicago
- University of Arkansas
- University of Bergen
- University of Minnesota
- University of New South Wales
- University of Pennsylvania
- University of South Carolina
- 13 more »
- « less
-
Field
-
on learning assistants: the monitoring of tasks assigned to large language models [7]. This project aims to design the first AI-based chatbot controlled by a semantic model of the educational context. It will
-
, and curated semantic datasets for analytics and downstream consumption. Develop scalable transformation and modeling layers using dbt (or equivalent) and data modeling best practices (Kimball
-
Your Job: In an interdisciplinary team, you will implement approaches for the automated, large-scale availability and integration of energy system data and models, applying data science methods
-
manipulation systems for contact-rich tasks Key research challenges include: Learning reliable predictive models from sparse and noisy sensory data Incorporating semantic priors into planning and control
-
enterprise data into usable models (Snowflake preferred). Experience working with large-scale administrative systems such as Banner, Workday, Salesforce, or ServiceNow. Effective analytical thinking and
-
17 Apr 2026 Job Information Organisation/Company IMT Atlantique Department Doctoral division Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Positions PhD
-
, governance structures, and integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use cases such as RAG, vector search, semantic layers, and
-
or more relevant platforms or technologies, such as: Copilot Studio o Power Automate / Power Apps, Power BI and semantic data models, Dataverse or relational databases, APIs, REST/JSON integrations Python
-
sensing data as appropriate. ● Demonstrated experience using generative AI tools (e.g., large language models) effectively, including prompt design, evaluation of outputs, and responsible use in
-
integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use cases such as RAG, vector search, semantic layers, and agentic workflows. *Applicants