23 computer-programmer-"Multiple"-"Prof"-"U"-"O.P"-"Fraunhofer-Gesellschaft" "U.S" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
Sort by
Refine Your Search
-
Ref.: 532531 Work type: Full-time Department: Department of Physics (25600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in Computational and Theoretical Condensed
-
demonstrate a strong sense of responsibility and have a good command of written and spoken English. The ideal applicant is self-motivated, detail-oriented, and capable of managing multiple tasks. Good
-
Health or other related disciplines with at least 2 years of post-bachelor's work experience. Previous work experience in big data analysis, managing large databases of multiple research projects relating
-
independently and in a team. Priority will be given to those who have solid research experience in the field of education. The appointee will assist the Lead Researcher to conduct landscape research and multiple
-
: Ability to manage a research programme financially and administratively under the guidance of the Principal Investigator. Ability to work independently with excellent problem-solving skills, collaborate
-
strong sense of responsibility and be able to work independently and in a team with different stakeholders. The appointee will work on a research project that evaluates the effects of a programme designed
-
. Qualifications and Experience possess a PhD in Computer Science, Robotics, Mechatronics, Biomedical Engineering, or a related discipline; demonstrate strong programming proficiency in C++ and/or C#, with a solid
-
, fluent in written and spoken English, and competent in basic computer database management. Familiarity or experience with gene sequencing or gene manipulation will be an advantage. The appointee will be
-
funding. Requirements A PhD degree in a relevant discipline (e.g., civil engineering, computer science, AI, architecture, or related fields); A strong publication track record; Experience with Building
-
analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies