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, conducting performance assessments and benchmarking case studies, and helping codes to transition into the era of accelerate compute. You will be embedded into the SHAREing (https://shareing-dri.github.io
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available1Company/InstituteUniversity of NottinghamCountryUnited KingdomCityNottinghamGeofield Contact City Nottingham Website http://www.nottingham.ac.uk/ Postal Code NG7 2RD STATUS: EXPIRED X (formerly Twitter
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is converted to biomass. Chloroplast has its own genome, which codes for several key proteins involved in photosynthesis. Thus, accurate replication of the chloroplast genome is vital
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Design and deliver advanced undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning, coding, and algorithmics. Play a pivotal role in programme accreditation
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ongoing, and you will need to use the code and tools that have already been developed by the team. These include the use of Tensorflow, PyTorch and Python. You will work with large imaging datasets commonly
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EMBL-EBI - European Bioinformatics Institute | Hinxton, England | United Kingdom | about 1 month ago
and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely); Family benefits: On-site nursery, 10 days of child sick leave, generous paid maternity & parental
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networks are applied genomics, fluorescent microscopy and proteomics for cell profiling. The project is already ongoing, and you will need to use the code and tools that have already been developed by
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, coding, and algorithmics. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research & Scholarship Lead independent
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Attributes Experience working with quantitative and textual data, writing computer code, and/or using existing Digital Humanities tools. The successful candidate will be supported to fill gaps in their Digital
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Large language models (LLMs) can read and write text and code, call tools, and follow instructions. They now allow us to build agents that plan and act over many steps instead of giving a single