46 mathematics "Maastricht University" research jobs at National University of Singapore
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datasets to address issues related to cancer care and population health. Candidates need to be able to understand statistical modelling, have a strong mathematical background, and be fluent in R programming
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tools Requirements The candidate should have a basic degree in STEM courses and possess the following skill sets: strong in coding in python and familiar with machine learning tools strong in mathematics
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Mathematics from a regionally or internationally accredited institution. · Recent PhD graduate or in the final stage of PhD study. · Strong background in algebraic combinatorics. · Familiarity with GAP/Magma
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contract role, starting in July/August 2024. The successful candidate is expected to begin duties in July/August 2024. Requirements • Bachelor or a fresh Master’s graduate in Mathematics from a regionally
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structures Qualifications • An undergraduate or master degree in mechanical engineering, applied mathematics, aerospace engineering or other related fields
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analytics and mathematical modelling. The Research Assistant/ Associate will play a critical role in the development of HIPER’s growing research agenda to support health policy and services research in
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, Statistics, Computer Science, Applied Mathematics, or equivalent. Proficiency in statistical software (Python or R) and relevant visualization techniques. Experience in conducting experiments, whether in field
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projects in both infectious and chronic disease, measuring the impact of interventions. Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R
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. The PI has projects in both infectious and chronic disease, measuring the impact of interventions. Candidates need to be able to understand statistical modelling, have a mathematical background, and be
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stakeholders • Prepare research reports/manuscripts Requirements: • a BSc in a quantitative discipline (statistics, mathematics, computational biology, data science) • Strong skills in statistical and data