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for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations. Collaboration
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and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and expertise in analysing/ training models on biological or chemical
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Computer Science, Geographic Information Science, Data Engineering, or a related technical field. Job
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We are seeking a motivated and Talented experimentalist for a full-time Postdoctoral Research Assistant in Modelling of Quantum Computing Control Systems within Professor Ares’ and Professor
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highly motivated candidate who meets the following qualifications and characteristics: PhD (completed or soon to complete) Software Engineering, Computer Science, Embedded Systems, Artificial Intelligence
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research areas include Biomedical applications, Communication systems and information theory, Digital systems and computer architecture, Microelectronics, Micro-electromechanical systems (MEMS), Nano
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weighting The Department of Computer Science seeks to employ a postdoctoral researcher to work on a new project in the area of LLMs/multi-agent systems, under the direction of PI Professor Michael Wooldridge
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of research funding Your profile... The candidate should possess a PhD degree in Computer Science, Software Engineering or a related field The ideal candidate should have some knowledge and experience in
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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. She is also a faculty member in the Biophysics Program and a Faculty Fellow of the Sarafan ChEM-H (Chemistry, Engineering and Medicine for Human Health) Institute. Cegelski’s PhD in Chemistry and