23 parallel-processing-bioinformatics research jobs at Hong Kong Polytechnic University in Hong Kong
Sort by
Refine Your Search
-
project - “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the areas of machine learning and data science, and also be
-
and automation; (d) be proficient in designing and processing 3D-printers and sealed chambers; and (e) have strong problem-solving skills and a collaborative mindset. Post 2 of Research Assistant
-
- “Monitoring, diagnosis, and prognosis for renewable energy system under complex operation conditions”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification; and (b
-
preliminary research on the application of brain-computer interface technology in enhancing tourism experiences for families with ASD children”. Qualifications Applicants should have: (a) a doctoral degree
-
. Preference will be given to those with a relevant portfolio related to system development, Human-Computer Interaction/Cultural Studies and/or knowledge of Cantonese. Applicants are invited to contact Prof
-
the project leader in the research project - “Advanced sensor array signal processing for sensing and communications”. Qualifications Applicants should have: (a) a master’s degree or an equivalent
-
opportunities for innovative technologies; (c) explore and evaluate emerging technologies, including AI, to enhance teaching, learning and administrative processes; (d) pilot digital solutions and provide
-
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
-
significant passion in the field of “one-health”; and (c) be reliable in data processing. Preference will be given to those with experience in conducting survey and relevant work. Applicants are invited
-
) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific