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) 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
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) through advanced computer vision and LVLM integration; (b) overcome technical challenges: innovate solutions for large-scale small-object detection, dynamic lighting adaptation, and edge-computing
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twelve months initially, with possibility of further appointment] Duties The appointee will assist the project leader in the research project - “Computer technologies and simulation projects”. He/She will
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) have high proficiency in English; (d) have good computer literacy, especially in the use of SPSS and MS Excel in data analysis; and (e) have good organisational, communication, and interpersonal
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- “Environment and conservation fund - converting waste plastics into value-added products: process design, simulation, and feasibility analysis”. Qualifications Applicants should: (a) have an honours degree
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record of publishing in top international journals is highly desirable. Preference will be given to those with experience working on projects related to bioinformatis, animal surgery, or artificial
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such as machine learning, programming, big data analytics, statistics, social network analysis, natural language processing, and population analysis. The appointee will work on the Master of Social Sciences
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computer science, maritime economic or a related field, preferably with a publication record in computer vision or maritime-related research; (b) proficiency in programming, including Python and Matlab, data
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an innovative and well-funded research group that is open to interdisciplinary collaboration. Research should be at the forefront of biology and medicine, spanning basic molecular and cellular processes
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transport theory, and mesoscopic systems are preferred. Applicants who are in the process of completing a Ph.D. degree will also be considered. A highly competitive salary commensurate with qualifications and