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PhD Supervisor: Dr Alexander Wittig Supervisory Team: Dr Alexander Wittig, Dr Davide Amato (external, from Imperial) Project description: Interest in more complex dynamics of space trajectories
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The project: An exciting opportunity is available for a talented and motivated PhD candidate to pursue cutting-edge research on applying generative artificial intelligence and reinforcement learning
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is with Prof. dr. Cees Snoek, Professor, head of the Video & Image Sense lab (VIS lab), at the University of Amsterdam. VIS lab is a world-leading lab on Computer Vision and Machine Learning, and has
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Project title: Machine Learning models for subgrid scales in turbulent reacting flows Supervisory Team: Temistocle Grenga, Ed Richardson Project description: Supervised deep convolutional neural
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will be the base to then utilise lentivirally transduced genetic reporters as quantitative readouts for neuronal and glial inflammation. You will then be instructed on applying AI/machine learning
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scattering and runs a specialized subgroup on machine learning (artificial intelligence and deep learning) for the analysis and prediction of experimental scattering data. Currently, there are several options
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This is a full-time, funded PhD opportunity, open to home and overseas students. Only home fees will be covered - eligible overseas students will need to make up the difference in tuition fee
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developments in artificial intelligence (AI), machine learning (ML) and microelectronics have enabled drones to work even more efficiently, enabling them to address emerging demands in several sectors including
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Phenotyping” offers a position from 01.03.2024 as PhD student (m/f/x) for development and implementation of machine learning applications and data analysis in Translational Psychiatry Kennziffer: 8740. Your
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crystallography, in situ crystallographic studies, scientific coding and software development and machine-learning enhanced analysis and will come up with new models of how the atomic structure of layered materials