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Department of Computing Research Fellow (Ref. 260417017) [Appointment period: eight months] Duties The appointee will assist the project leader in the research project – “Large-scale AI-empowered
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. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large accounting or finance datasets, or have a proven record in utilizing APIs and
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position is a prestigious Empire AI Fellowship at the University at Buffalo, designed for a 'CS-first' researcher to drive the technical evolution and large-scale implementation of a new platform for protein
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experimental X-ray scattering data. System Stability: Ensuring numerical reproducibility and stability in large-scale distributed training workloads. Learn more: Our benefits , where we prioritize your well
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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have experience developing and running large numerical models and analysing complex datasets? Would you like to work with a world-leading team at Leeds to connect molecular-scale insight to cloud-scale
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sets combined with behavioural data (pupil diameter, speed, motor movements). Your skills and attributes for success: PhD in Neuroscience is required with experience in in vivo large-scale two-photon
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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support on foundation models and generative AI systems; (b) explore advanced techniques in foundation large language models and multimodal large language models, with a focus on pre-training, post
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply