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computations emerge from cortex-wide neural dynamics across species. The PDRA will contribute primarily to developing and analysing Cortically-Embedded Recurrent Neural Networks (CERNNs) that simulate large
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nightshade family (Solanaceae). We expect the appointee to produce, collate and analyse DNA sequence and morphological data for clades of Solanum species, focusing on the diverse “spiny solanums”, in either
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task essential for grid stability. The goals of the project are twofold. The first goal is to accelerate the solution of the large mixed-integer optimisation problems required to balance energy. The
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. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced data analytics to uncover and predict patterns in large multimodal
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particularly well suited to researchers interested in careers that span academic research, heritage practice, museums, and public archaeology. Further Information To be considered for this opportunity, please
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on large-scale benchmarks. You will take an active role in maintaining and further developing the lab’s research codebase. You will contribute to the supervision and mentorship of DPhil students, CDT
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ideas and work together towards answering the big questions of the future. You also appreciate the exchange between disciplines, cultures and generations? We are looking for a/an University Assistant
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research income generation. You will also have experience in working with large micro databases and grouped data. Experience of independently managing a discrete area of a research project, working in
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genome encodes gene expression levels. You will undertake large scale data generation from primary human samples using a method recently pioneered by the host laboratory (Hua et al., Nature 2021 https
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against undesirable behaviours in Large Language Models (LLMs) and Text-to-Image Diffusion Models (T2Is) towards reliable and responsible human-centred AI systems. NeSyDebates aims to focus on requirements