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. Proficiency in programming languages such as Python, R, or similar. Excellent analytical and problem-solving skills. Ability to work both independently and collaboratively in a team. Previous research
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, economics, or a closely related field. Excellent knowledge of computational linguistic tools and machine learning techniques. Experience with data analysis with Python and STATA. Prior experience in
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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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experience in statistical modelling, machine learning/deep learning, genomics and multimodal biological, and biobank data analysis. Proficiency in R, Python, Perl, and Linux environments. A track record of
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a related field Experience in python is required Experience in flow chemistry Experience in reactor design is beneficial Experience in process control and PAT Knowledge and interest in closed-loop
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coding in bash and R/Python Experience in creating and maintaining Nextflow pipelines. Experiences of analyzing large-scale population data. Experiences working with electronic health records (desirable
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communication skills with the ability to prepare technical reports and academic publications. Proficiency in job-specific technical skills, including programming for research and data analysis purposes (e.g. Python
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and interpretation Proficiency in R or Python for statistical analysis and modelling Experience leading research teams or managing research projects (for Senior Research Fellow role) A solid publication
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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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and oral communication skills Proficiency in data analysis tools (e.g., R, Stata, Python, NVivo, GIS) Experience with interdisciplinary or community-based research is a plus How to apply: Interested