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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in
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research aimed at quantifying or modelling the state and function of soils across spatially variable landscapes. Applied experience in using statistical and mathematical tools to analyse and interpret soil
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or create an account to save a job. Get job alerts Create a job alert and receive personalised job recommendations straight to your inbox. Create alert Similar jobs Faculty Positions in Applied Mathematics
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, mathematics, and physics. The application deadline is September 16, 2025 (14:00 CEST) Salary: ISTA-Fellows receive 2-year, full time employment contracts with an internationally competitive salary (min. 72,100
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The Translational Materials Innovation Group, led by Professor Nam-Joon Cho, has world-leading expertise in multiple research areas, such as membrane-active compounds, antibacterial and antiviral applications, plant-based bio-material applications, etc. We are looking to hire a Research...
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The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world. Our culture empowers people to achieve...
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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background in landscape ecology, geography or even landscape architecture is helpful, the work is expected to lean heavily on mathematical, statistical and quantitative analysis of the LiDAR data to not only