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data Qualifications • Qualifications/Discipline: PhD degree in a relevant discipline (including computer science, statistics, genomics, bioinformatics, biology, drug design, etc) • Skills
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societies and committees. 5. Contribute to teaching when applicable. Qualifications An Engineering PhD in the areas of Bayesian optimization, complex systems simulation and operation, applied
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Leadership and co-supervision Requirements: Completed a PhD in a quantitative discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred
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) contacts of 3 reference persons. Only shortlisted applicants will be contacted. Job Requirements • Possess a PhD degree in Civil Engineering or Materials Engineering with demonstrated experience in
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background in applied empirical methods, coupled with a keen interest in pursuing a quantitative marketing PhD degree with a focus on machine learning or structural modelling. Responsibilities: The successful
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opportunity to comentor PhD Students. Qualifications A PhD in Visual Sciences, Optometry or other related disciplines A minimum of 3 years’ experience in myopia research including master's and/or PhD Good
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. Experiences in AI and data analysis are essential. Entry Level candidates are welcome if their PhD theses are in the field. Strong background in machine learning, statistics, and computational modeling
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of individual level data on internships and graduate employment. Compiling, processing, and analyzing data using statistics and econometrics software such as STATA and R. Preparing sections of analysis, writing
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following fields: Large random matrices Machine Learning Job Requirements: PhD degree in statistics or related areas. Experience in random matrices or machine learning Strong written and verbal communication
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include: Lead the research projects Train juniors (PhD or undergraduate students) Assist and help with lab management Qualifications Qualifications / Discipline: PhD in Chemistry or Chemical Biology Skills