184 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Oxford
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in real time. It requires the application of advanced computational techniques spanning a range of temporal and spatial scales to address some important and fundamental questions regarding the nature
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We are seeking a full-time Postdoctoral Research Associate in Computational Mechanics for Solid State Batteries. The post holder will be based at the Department of Engineering Science (central
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capabilities o Demonstrated experience with machine learning and/or statistical modeling o Expertise in handling large-scale, complex datasets with strong data wrangling skills o Strong publication record
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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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Computational Neuroscience and related fields as part of the Medical Research Council, UKRI grant “Algebraic topology bridging the gap between single neurons and networks”. They will be expected to conduct
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
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Neuroscience, Psychology or a closely related discipline and you will bring in-depth knowledge of cognitive and computational neuroscience including motivation, learning and decision making. You will have strong
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conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a related field together with strong programming skills in Python, R
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be close to the completion of a DPhil/PhD in Neuroscience, Psychology or a closely related discipline and you will bring in-depth knowledge of cognitive and computational neuroscience including