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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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/ Public Health/ Engineering/ Computer Science/ Mathematics • Knowledge of probability and data analysis (statistics and/ or econometrics) • Use of software like R or Python or STATA Applicants with
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career. Requirements: Applicants are expected to possess a postgraduate degree in related field such as Biostatistics/ Engineering/ Economics/ Pharmacy/ Public Health/ Computer Science. Applicants with
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. Manage computing cluster networks, VLANs, and closed networks for specialized medical equipment. Administer information management systems, including medical applications such as Picture Archiving and
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Job Description The National University of Singapore invites applications for a Research Fellow in the Department of Medicine, Yong Loo Lin School of Medicine. Main duties and responsibilities The Research Fellow (RF) will be responsible to, and work closely with, the Principal Investigator (PI)...
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. Qualifications The applicant should: PhD degree in computer science, computational biology, bioinformatics, biostatistics, or a related field. Demonstrated experience with Python, R, Julia or similar programming
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) Be familiar with machine learning tools and EEG data analysis (EEGLAB). More Information Location: [[28 Medical Drive #05-COR, Singapore 117456]] Organization: Life Sciences Institute Department
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research, preferably related to infectious disease modelling. • Strong analytical and data management skills using electronic medical records, clinical trials, and observational data. • Experience with
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Other Responsibilities and Duties Job Description The National University of Singapore invites applications for Research Assistant role funded by Centre Grant Programme “MOlecular Markers, MEchaNisms and their TherapeUtic Manipulation in CardioVascular Disease (MOMMENTUM-CVD)”> in Yong Loo Lin...
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. Master in a quantitative discipline (e.g. data science, statistics, computer science) 2. Relevant working experience 3. Use of scripting languages and statistical software (e.g., R, STATA, Perl, Python