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Field
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Currie Doctoral Network grant of the Commission of European Council to develop novel method for Advanced WF interface control for enhanced synchronisation stability under varying grid and WF output
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in colorectal cancer. You will be responsible for developing spatially-resolved models of metastatic outgrowth in the liver which account for interactions between stromal, immune and tumour cells. You
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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, to develop methods, tools and strategies for thinking and action on sustainability. By ‘marginalised’ we mean those facing socio-economic, infrastructural, geographical and political inequalities that inhibit
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presenting experimental research focused on characterising the evolution of immune evasion mechanisms in SARS-CoV-2. This work will concentrate on viruses isolated from immunocompromised individuals with long
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), Neha Potnis (Auburn), Courtney Leisner (Virginia Tech)) and Thomas Lahaye (Tübingen)) to investigate the effect of fluctuating temperatures on the outcome and evolution of plant-pathogen interactions. We
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develop new research avenues and methodology. This full-time fixed-term post is funded by the MRC up to 31st March 2027 in the first instance. The actual starting salary offered will be based
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and electronically and prepare proposals and applications to external bodies. You will: possess a relevant PhD (or nearing completion) or possess an equivalent qualification/experience in a related
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of performing in vivo gene delivery techniques in the rodent brain, such as viral delivery. Previous experience of developing custom analysis scripts for quantifying aspects of synaptic inhibition. The closing
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develop leaning-based approaches to contact rich mobile manipulation (LocoManipulation) with a focus on legged robots in challenging scenarios. This C2C project is in collaboration with ETH Zurich’s “RobotX