298 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in Singapore
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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program aimed at developing a better understanding of how aging beliefs and mortality expectations may influence economic decision-making among individuals and households. The Principal Investigator
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the Laboratory of Immunity and Immune Pathology in the Emerging Infectious Diseases Signature Research Programme. The candidate is expected to work on a project examining immune responses to viral pathogens and
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discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl
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Job Description Job Alerts Link Apply now Job Title: Research Associate/Fellow (Data Scientist) Posting Start Date: 22/05/2025 Job Description: Job Description This job description outlines a position for a Research Associate/Fellow (Data Scientist) in Data Science at the Department of Family...
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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should have an outstanding academic record in an accredited PhD program in social psychology, marketing (consumer behavior track), or any related fields. More Information Location: Kent Ridge Campus
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stacks and the development of lithography process for applications in neuromorphic computing. The candidate is expected to carry out the following: Key Responsibilities: Deposition and development
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of infectious diseases. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing