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We are recruiting a postdoctoral research scientist to lead virus evolution and bioinformatic data analysis for our program on wastewater surveillance for pandemic pathogens. The world has never
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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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mechanisms of meiotic chromosome segregation using Drosophila oocytes as a model system (http://ohkura.bio.ed.ac.uk). We are looking for an enthusiastic and talented researcher to study spindle regulation in
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related to computer-aided formal verification. The position is funded through the EPSRC-Project Games for Good grant, with Patrick Totzke, Sven Schewe and Qiyi Tang. Collaborations with other local and
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vaccines and evaluating new anti-mycobacterial drugs to improve treatment outcomes. This position will involve evaluating novel vaccine candidates and drugs using in vivo models. The role will also include
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, the centre will initially focus on some of the following thematic areas: • Decision analysis under model misspecification • Uncertainty quantification around LLMs • Constrained optimal
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implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene understanding, object
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the Oxford Martin Circular Battery Economies Programme, who are working on second-life battery modelling, re-certification, and redeployment, as well as social acceptability and policy design. About you You
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of Environmental Hepatology, investigating how biologically relevant micro- andnanoplastics(MNPs) contribute to liver disease. Using advanced human models, including patient-derived intestinal and hepatic organoids
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical