93 high-performance-computing-postdoc research jobs at Hong Kong Polytechnic University
Sort by
Refine Your Search
-
complex business processes and continuously optimise workflow systems to ensure system stability and efficiency; (c) develop high-quality, high-performance AI service backends based on Python and FastAPI
-
and be required to: (a) develop high-performance, scalable backend services using Python and Go; (b) develop and maintain SaaS applications, including user management, SSO, and permission systems
-
) undertake specific research project(s) under the guidance of a project leader and contribute to the development of research activities; (b) develop computer programs to assess the safety of ML models with
-
computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with an interdisciplinary research team
-
) assist in project management, data collection, and data analysis; (b) assist in writing the code for experiments with Large Language Models; and (c) perform any other duties as assigned by
-
-motivated, committed and able to work independently; (c) have good interpersonal and communication skills; and (d) have a good command of both written and spoken English, with high proficiency in English
-
to details and have the ability to handle repetitive tasks while maintaining high accuracy; (f) have an excellent command of reading, written and spoken English and Chinese including Putonghua; (g) be
-
given to those with research experience in drone delivery optimization, machine learning, reinforcement learning and operation research. Applicants are invited to contact Prof. Siyuan Feng at telephone
-
Department of Computing Research Assistant (thirteen posts posts) (Ref. 250806008) [Appointment period: each for six months] Duties We are building a domain-specific Multimodal Large Language Model
-
) experience in providing support of publishing high quality conference or journal papers. Applicants are invited to contact Dr Emma Shujun Wang at telephone number 2766 7670 or via email at shu-jun.wang