Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
the research project - “Trustworthy quantum algorithms for security-constrained engineering optimization problems”. Qualifications Applicants should have a master’s degree or a good honours degree with three
-
mathematics. The Department hosts internationally recognized research groups in areas such as algebra and number theory, geometry, computational mathematics, and optimization and operations research. More
-
- “Integrated optimization of vehicle scheduling, charging and platooning for autonomous electric trucks”. Qualifications Applicants should have: (a) a doctoral degree or an equivalent qualification and must
-
) maximally reduced COVID-19 transmissions while causing fewer disruptions to the community and evaluating the optimal social policy designs in minimising the economic harms of the COVID-19 pandemic through
-
, computational mathematics, and optimization and operations research. More information about the Department can be found at https://hkumath.hku.hk/web/index.php . Position Description The Department seeks a
-
Department of Rehabilitation Sciences Research Assistant (Ref. 260729004) [Appointment period: four months] Duties The appointee will assist the project leader in the research project - “Optimizing
-
optimizing cell-based and biochemical assays for target validation; applying molecular biology techniques to characterize therapeutic antibodies and macromolecular drugs; conducting biostatistical analysis
-
- “Smart Holistic Insurance Enhancement using Learning Algorithms & Decentralization (S.H.I.E.L.D.)”. He/She will be required to: (a) develop machine learning models to predict optimal rehabilitation
-
to optimize device performance and efficiency, as well as developing prototypes for wearable devices. Additionally, the appointee will build and establish strategic relationships with industry partners
-
public health and social control measures (PHSMs) maximally reduced COVID-19 transmissions while causing fewer disruptions to the community and evaluating the optimal social policy designs in minimising