69 cloud-computing-associate-professor Fellowship positions at Hong Kong Polytechnic University
Sort by
Refine Your Search
-
Department of Civil and Environmental Engineering Principal Research Fellow / Senior Research Fellow / Research Fellow / Research Associate / Research Assistant / Research Technical Assistant (Ref
-
Department of Electrical and Electronic Engineering Senior Research Fellow / Senior Project Fellow / Research Fellow / Project Fellow / Postdoctoral Fellow / Research Associate / Project Associate
-
Department of Electrical and Electronic Engineering Senior Research Fellow / Senior Project Fellow / Research Fellow / Project Fellow / Postdoctoral Fellow / Research Associate / Project Associate
-
Department of Data Science and Artificial Intelligence Research Fellow / Postdoctoral Fellow / Research Associate / Research Assistant / Part-time Research Assistant (Ref. 250424007) (1) Research
-
Department of Electrical and Electronic Engineering Senior Research Fellow / Senior Project Fellow / Postdoctoral Fellow / Research Associate / Project Associate / Research Assistant / Project
-
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
-
Department of Data Science and Artificial Intelligence Research Fellow / Postdoctoral Fellow / Research Associate / Research Assistant / Part-time Research Assistant (Ref. 250407001) (1) Research
-
Department of Industrial and Systems Engineering Postdoctoral Fellow / Research Associate / Research Assistant (Full-time/Part-time) (several posts) (Ref. 250328012) [Appointment period: each for
-
Department of Mechanical Engineering Research Fellow / Postdoctoral Fellow / Research Associate / Research Assistant (Full-time/Part-time) (Ref. 250429008) (1) Research Fellow / Postdoctoral
-
, Operations Research, Computer Science or a related discipline and must have no more than five years of post-qualification experience at the time of application; and (b) experiences in optimization modeling