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Field
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Postdoctoral Research Associate on Architectures for LLM-based agents Full time, Fixed-term contract for 30 months, tenable immediately to end before 31 May 2028 Grade 07RS: £38,674-£46,913 per
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-based architectures, and deployment frameworks for machine learning algorithms. Experience in Deep Learning techniques and solutions used in commercial software development. A track record of publications
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you will need: 1. A completed PhD or a submitted PhD thesis in either computer science, mathematics, computer/software engineering, electrical or electronic engineering, mechanical/mechatronic
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following: Designing efficient digital CIM architecture using advanced CMOS nodes Develop system architecture for digital CIM accelerator Develop efficient mapping schemes of AI workloads Identifying
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. The candidate will work on the following: Designing efficient analog CIM architecture using emerging memristive devices Develop system architecture for analog CIM accelerator Develop efficient mapping schemes
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accelerator design for future neuromorphic accelerators. The candidate will work on the following: Designing efficient digital CIM architecture using advanced CMOS nodes Develop system architecture for digital
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accelerator design for future neuromorphic accelerators. The candidate will work on the following: Designing efficient analog CIM architecture using emerging memristive devices Develop system architecture
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of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking
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Engineering (Marine Technology profile) and the Nordic Master in Maritime Engineering. The research group consists of senior researchers, postdocs, and PhD students. During the project, the postdoc will also
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analysis Numerical methods for differential and integral equations Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written