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traditional 3D reconstruction techniques and Deep Learning techniques like NeRF. Strong in coding in python and familiar with machine learning tools. Strong in mathematics particularly linear algebra and
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practical settings. Qualifications Solid mathematical foundation and analytical skill; preferably with a Bachelor's degree in Mathematics. Adequate understanding of engineering and
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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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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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structures Qualifications • An undergraduate or master degree in mechanical engineering, applied mathematics, aerospace engineering or other related fields
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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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actionable insights generation. Responsibilities: In collaboration with the Departments of Statistics and Data Science, and of Mathematics, the Provost Office seeks Teaching Assistants/Course Instructors to
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: Centre for Maritime Studies (CMS), Institute of Data Science (IDS), Institute of Operations Research & Analytics (IORA), Institute for Mathematical Sciences (IMS), Lloyd’s Register Foundation Institute
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of analytical results and derivation of actionable insight Qualifications Bachelor degree in Data Analytics, Applied Statistics or Mathematics, Computer Science or another quantitative field, but higher
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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