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The School of Chemistry, Chemical Engineering and Biotechnology is seeking for a full-time Research Fellow. The Research Fellow will work together with R&D team to conduct the following tasks. Key
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SPSS and R, and proficient in graphical-user interfaced software (e.g. Qualtrics, Verint, Google forms, Microsoft Office suite) We regret to inform that only shortlisted candidates will be notified
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framework such as Tensorflow, Pytorch, MXNet and Programming Languages such as Python, Matlab, R and/or C/C++. Demonstrated project experience related to causal inference will be an advantage. Good written
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experience in programming languages such as R, Python, and familiarity with NLP tools and techniques (essential) Proven track record in handling and analyzing large healthcare dataset (essential) Track record
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cancer genomics and functional interpretation of genetic variants Proficiency in Python, R, or other bioinformatics languages Knowledge of cloud computing, and high-performance computing (HPC) environments
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of scientific findings. He/she will be accountable to the Principal Investigator (PI). The RF / RA will be able to: Conduct quantitative data analysis using SPSS / STATA / R; Lead the development of research
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or adaptive designs. • Proficiency in at least one of the following: R, Python, JavaScript, or other relevant data analysis or app development tools. • Familiarity with EMA, EMI, MRTs, or SMART designs is
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user friendly scripts in R, and Python for data visualization and analysis that can be used by other team members. ● Creative problem solver with critical thinking skills and the ability to manage
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user friendly scripts in R, and Python for data visualization and analysis that can be used by other team members. ● Creative problem solver with critical thinking skills and the ability to manage
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motivated individual with capacity to work independently. Good time management and planning; Good publication track record; Some knowledge of Building Energy Modelling, GIS and programming language (Python, R