Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large
-
, such as Matlab, Python, R, Stata and GIS. Preference will be given to those with experience in handling large-scale gridded datasets (e.g., spatial panels and raster data) and proficiency in Python for data
-
fuzzing-based approaches; (c) assist in the development of prototype systems for vulnerability detection and exploit generation; (d) explore the use of Large Language Models (LLMs) and agent-based
-
) support the review of pay and benefits for various staff categories to ensure competitiveness of the pay and reward mechanism, and monitor the large-scale annual pay adjustment exercises; (c) review HR
-
School of Fashion and Textiles Research Associate (Ref. 260317004) [Appointment period: six months] Duties The appointee will assist the project leader in the research project - “Large language
-
Computer Engineering, Electronic Engineering, Information Technology or a related discipline; (b) at least five years of relevant post-qualification work experience in operating various brands of core
-
communication skills in both English and Chinese; (d) have strong empirical research skills with expertise in causal inference methods (e.g., quasi-natural experiments, field experiments); (e) be proficient in big data
-
database architecture (SQL/NoSQL) and perform query optimisation for large-scale educational datasets; (d) integrate AI/LLM models (e.g. OpenAI, Anthropic) with Retrieval-Augmented Generation (RAG) and
-
Science in Urban Informatics & Smart Cities and Doctor of Philosophy. LSGI has a very strong research programme that encompasses research activities in the areas of urban informatics, spatial big data
-
both front-end and back-end development (such as Java); (d) have R&D experience with Large Language Models (LLMs); and (e) be familiar with AI agents. Applicants are invited to contact Prof