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engineering, computational neuroscience, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from
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, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from nonlinear control and optimisation
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project was selected for funding by the European Research Council (ERC) and is led by Prof. Anna Korhonen. The goal of the project is to investigate the challenges in the development of globally inclusive
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equitable. This UKRI Frontier project was selected for funding by the European Research Council (ERC) and is led by Prof. Anna Korhonen. The goal of the project is to investigate the challenges in
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to consider these as part of your application. Please submit your application by midnight on the closing date. If you have any questions about this vacancy of a technical nature, please contact Prof. E
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. Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. Applicants should contact Prof Amanda Prorok for further information. http
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letter (Max 3 sides, including proposed research project) to be submitted to Dimple Patel, dp692@medschl.cam.ac.uk by July 29th 2025. Informal enquiries should be directed to Prof Menna Clatworthy
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-sequencing, flow cytometry, multiplex immunofluorescence, and standard molecular biology and biochemistry techniques. A computational component may also be available, depending on the skills and preference
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PhD student will be trained by a team consisting of a project-specific PDRA as well as Prof. Ringe and Dr Lomonosov (senior research associate in the group), towards gaining technical independence in
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of our approach is the innovation of novel methods to investigate genome function. For example, we have recently developed ways to map the binding of nucleic acid-interacting drugs and small molecules