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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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fellowships (10+ positions) for highly qualified candidates who have completed or will soon complete their PhD or equivalent in chemistry, data and computer science, earth and astrosciences, life sciences
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/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in applied mathematics, mathematics, statistics, operations
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. Person Specification PhD (or near to completion or equivalent experience) in a relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills
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Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty member who serves as a
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across science, technology, engineering, and mathematics includingmedicine (STEM). Through AI4X-PDF, we aim to cultivate the next generation of research leaders working at the intersection of AI and STEM
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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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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
UiO/Anders Lien 25th August 2025 Languages English English English PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys Apply for this job See
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of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the neurobiological basis of intelligence. Research and development of new AI or ML
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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