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proofs obtained via state-of-the-art theorem provers and model-checkers. There will be a need to develop novel synthesis algorithms that can scale. There will be a need to fine-tune foundational models
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university/spinout environment. This is a unique opportunity to work at the forefront of applied research and innovation, helping translate novel control algorithms and hardware prototypes into real-world
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of such systems, but this is driven from the fundamental theoretical knowledge that underpin them. You will be co-creating new models, algorithms and schemes to advance the field of joint sensing and communications
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learning and generative AI approaches, creating synthetic virtual patient cohorts from multimodal datasets. Your work will involve designing advanced algorithms and high-throughput workflows for crafting
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deep learning and generative AI approaches, creating synthetic virtual patient cohorts from multimodal datasets. Your work will involve designing advanced algorithms and high-throughput workflows
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, molecular biology, or the microbiome. The role involves working alongside a postdoc in Nottingham and international partners to conduct a large-scale genotype-by-environment screen of duckweed growth under
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91 Centre for Microbiology and Environmental Systems Science Startdate: 01.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent
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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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We are looking to make several hires on two new projects related to the interaction of mental health and polarization. We welcome applications at both postdoc and doctoral levels. The projects run
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About us The Tucker lab is looking for a postdoc to work on a project funded by the Biotechnology and Biological Sciences Research Council (BBSRC). The post is for two years to study the role