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The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and
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. Strong background in the mathematical modeling of multiscale and multiphysics phenomena, including proven application of dimensional analysis, fractal analysis, and hybrid physics–AI approaches
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 17 hours ago
, utilizing real or simulated data to address statistical problems in a stimulating, collaborative, and supportive environment. Past research project areas have included modeling and simulation, missing data
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7 Sep 2026 Job Information Organisation/Company University of Bergen Department Department of Mathematics Research Field Mathematics Researcher Profile Recognised Researcher (R2) Positions Postdoc
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of mathematical modeling, computer programing, statistics, and data collection are desirable. Degree must have been received within the last five years. Point of Contact Janeen Eligibility Requirements Citizenship
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The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in the Division of Mathematical Sciences (MAS) and the Division of Physics and
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are not limited to: Developing scientific applications and software technologies for extreme-scale and energy-efficient computing Developing mathematical modeling for complex scientific problems Designing
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of placental function and reduce the risk of stillbirth. This post forms part of the internationally funded Wellcome Trust programme, which aims to develop new approaches to measure, model and predict pregnancy
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, network analysis, and mathematical modelling — with opportunities to pursue independent research. Curious to learn more? Read further to discover more about this opportunity. The team The successful
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of efficient AI-for-Science systems, leveraging foundation models (including small language models) and parameter-efficient adaptation techniques such as LoRA, grounded in a strong understanding of optimization