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Field
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modelling and optimisation approaches with wider applicability across transport, energy, manufacturing and other complex engineering systems. About You You will have a Doctorate degree or equivalent (PhD/EngD
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; developing their software, mathematical, and computational expertise through internal educational opportunities; and sharing their knowledge through scientific publications, presentations, and/or software
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research, Fellows help build the rich scientific community at the CCA and Flatiron Institute by: participating in seminars, colloquia, and group meetings; developing their software, mathematical, and
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. Knowledge of fluid mechanics, computational mechanics, mathematical modelling, numerical methods, or medical image analysis is considered an advantage. Experience with experimental fluid mechanics, laboratory
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of PhD submission. Strong scientific programming skills in Python. Knowledge of mathematical models of biological systems and numerical methods for differential equations. Experience developing and
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About the Role We are looking for an enthusiastic researcher to develop advanced modelling and optimisation methods to support the transition towards lower-carbon, more efficient and resilient transport
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research staff, in a fast-paced, dynamic environment Required Qualifications* Graduate PhD degree in Bioinformatics, Applied Mathematics, Statistics, Genomics and Genetics, or related Data Sciences also
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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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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 5 days ago
. The successful candidate will support research activities related to Geographic Information Systems (GIS), spatial statistics, accessibility modelling, territorial typologies, dashboard development, and scientific
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with demonstrated ability to implement and optimize AI/ML models for biomedical datasets. Preferred Knowledge, Skills and Abilities Mathematical Modeling: Strong foundation in numerical modeling, graph