511 computional-geometry-algorithm positions at University of Oxford in United Kingdom
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initiatives, including the Inclusive Cities programme. You will have a passion both for academic research and for knowledge exchange with policy makers, NGOs, and other stakeholders and an understanding
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the performance of lithium ion technologies. To support the programme, the post holder will be required to carry out research on characterisation of battery degradation, with a particular focus on the application
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including providing administrative support to the Associate Dean for Undergraduates for the ‘Preparation for Learning and Teaching at Oxford’ (PLTO) programme. Candidates should have strong administrative
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computer programs (Outlook, Word, Excel) To demonstrate good communication skills (both oral and written) To possess inter-personal skills needed to relate to a wide range of people, particularly when
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programme focused on integrating and analysing large-scale, multidimensional imaging datasets: MRI of heart, liver, kidney and brain to support early disease detection, improve mechanistic understanding, and
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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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will have or be close to the completion of a PhD in Neuroscience, Psychology or a closely related discipline. With in-depth knowledge of cognitive and computational neuroscience including motivation
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experience with running LLM pipelines, running large scale computational projects • Have documented interest in AI If you would like to discuss this role, please contact Prof. Adam Mahdi adam.mahdi
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offers a unique opportunity to lead a programme of research trials and clinical cancer activity for the Department of Oncology and Oxford Cancer. Our research focuses on the testing of novel therapies
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the Computational Rare Disease Genomics (CRDG) Team, which is led by Associate Professor Nicky Whiffin and based within the University of Oxford’s Big Data Institute. The CRDG team collectively use