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programme in probabilistic AI. The hub will develop the next generation of mathematically principled, scalable and uncertainty-aware AI algorithms. This will be achieved through: bringing together world
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Balázs, supported by his EPSRC grant 'Particle systems, growth models and their probabilistic structures'. Our School has a vibrant scientific environment with leading researchers, several postdocs and
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behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
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examinations. Preparing exam rooms and distributing and collecting exam papers. You will be required to support both paper based and computer based examination processes. Adhering to the Universities policies
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., LLMs). Familiarity with MLOps practices like model registries and drift monitoring. High-Performance Computing (HPC): Strong command of Slurm or PBS, GPU optimization with ability to scale distributed
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messages and update information. Provide administrative support to (academic) staff for car hire, travel arrangements or meeting arrangements. Arrange routine meetings, order catering, collate and distribute
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We are pleased to announce an exciting opportunity for a postdoc Research Associate/Senior Research Associate to work on the NERC-funded project “Advancing holistic risk assessment for measures
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(SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide enhanced interference resilience
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We are seeking an enthusiastic and dedicated postdoc to work on our NERC funded project, ‘Genetic architecture of brain evolution during ecological divergence’. This NERC project aims to to reveal
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and distributed IT function, including balancing priorities, scheduling, and forward planning of work and resources to meet supply and demand. Ability to explain complex technical issues to both a