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. Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents. Strong background in R&D with self-motivation and initiative. Ability to develop and manage
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in mathematical modelling methods used to analyse infectious diseases • Strong programming skills, ideally with experience in R/R packages and GitHub as a collaborative coding environment • An ability
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, algorithmic, AI and communication skills. Proven track records of working in rapid R&D environment with wealth of experience in path planning for robotic arms, reinforcement deep learning and AI. Good
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statistical packages, especially R and SPSS Good statistical knowledge and skills Good IT skills (i.e., Microsoft Office®) Strong ability to work within a multidisciplinary team Strong interpersonal, written
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to produce two journal articles during their contract. The successful candidate must demonstrate good competence in quantitative research methods and be proficient with statistical software such as STATA or R
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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to the Sustainable Built Environment (SBE). The SBE team focuses on building energy modelling and simulation, decarbonization strategies for the built environment and R&D of green building technologies such as HVAC
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China, in the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred
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committees and working groups. Ensure compliance with health and safety in all aspects of the research work. The research staff is expected to work with the PI and other team members for doing R & D and take
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proficient with statistical software such as STATA or R Familiar in working with large datasets for statistical analysis Good track record in publishing in related, peer-reviewed journals Demonstrate good