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cognitive experiments Expertise in both frequentist and Bayesian statistics performing descriptive and multivariate statistical analysis techniques such as SEM using SPSS and/or R language. Excellent ICT
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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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analysis, preferably using software such as SPSS, R, MATLAB, or Python. Demonstrated ability to lead research projects, prepare manuscripts, and contribute to scholarly publications. Excellent written and
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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 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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. Requirements: PhD degree in statistics or a related field from a reputable university. Solid knowledge in hypothesis testing and high-dimensional analysis. Strong proficiency in the R programming language
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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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-modal datasets (e.g., biological, imaging, environmental, or clinical data). Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with machine learning frameworks (e.g
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quantitative discipline Minimum of 2 years’ experience in clinical trials or applied epidemiological research Strong statistical programming skills (e.g., R, Stata) Proven experience in developing Statistical