17 modelling-complexity-geocomputation Postdoctoral research jobs at University of Cambridge
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modelling the coupling of atmospheric and micro-physics moisture dynamics. The work will be carried out in collaboration with and under the supervision of Professor Edriss S. Titi. Duties include mathematical
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candidate will work with Professor Guilio Del Zanna on producing advanced atomic models. This post offers an excellent opportunity to contribute to a high-profile project focused on the development
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. The research undertaken includes the interpretation of collider data and theory support for LHC phenomenology and future colliders. The Research Associate will be working on beyond the Standard Model
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, BRCA2, and PALB2. Through advanced single cell genomics, in vivo modelling, and immune profiling, the team will study early molecular and cellular changes that occur in high-risk breast tissue. The team
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, to contribute to cutting-edge research on the early detection and prevention of primary intestinal tumours using animal models of ageing. The project involves a range of advanced techniques, such as complex mouse
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complex behaviours, including learning, in the small invertebrate model organism C. elegans. We have recently discovered a range of novel dopamine receptors in C. elegans and found that different receptors
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(PPA) for inclusion in our simulator framework. Candidates will ideally have worked on complex digital hardware designs and be familiar with standard EDA design tools from Cadence and Synopsys
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the cellular and molecular mechanisms driving tumour development. In this role, you will support a team of scientists using genetically engineered mouse models (GEMMs) and transplantable tumour models (e.g
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modelling to study the causes and consequences of extreme chromosomal instability in these cancers. The role will involve: - Learning and applying cytogenetic methods for generation and analysis of chromosome
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(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian