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Supervisory Team: Dr Christine Evers Project Description: Are you keen on conducting research at the intersection of artificial intelligence, deep learning and robot perception? We are recruiting a
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Positions: We have an opening for a PhD position in the areas of machine learning and computer vision. The position is supported financially by a SNSF project, whose aim is to build controllable
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of this role is to lead the EU-funded Hypermarker project and interact with other stakeholders across multiple departments. The key objective of the Hypermarker project is to use AI and deep-learning techniques
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One PhD studentship is available in the area of machine learning theory (statistical learning theory and deep learning theory) or theoretical-oriented topics, e.g., trustworthy machine learning
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that exploit Deep Learning structure prediction methods for the benefit of structural biologists. The work, in collaboration with CCP4 partners and building on preliminary data, will develop software to validate
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explore a variety of deep learning solutions, including voice synthesis, audio watermarking, and voice spoofing detection. Funding is offered by the Centre for Doctoral Training in Complex Integrated
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-visible-spectrum reflectance). This project brings together statistical modelling of the data-generating process with machine learning, including deep learning, techniques, to model and predict bumblebee
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Funded PhD Project (UK or International Students) Funding provider: Northeastern University London (NU London) Subject areas: History Project start date: 1 October 2024 Supervisors (*lead): Lars
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of various Machine Learning use cases in the new hardware. You will also have the opportunity to mentor PhD and MSc students working in Professor Rajendran's group. This is a full time post, and you will be
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strong expertise in programming languages (Python), machine learning frameworks, and deep learning frameworks (PyTorch, Tensorflow), you will have a deep understanding of Natural Language Processing and