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large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual
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in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about
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to analyze large multi-modal datasets and/or who wish to deploy the next generation of exposome AI models. These positions come with data ready to analyze: the candidate can focus on developing research
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(LLMs) for software engineering and static analysis tasks. More information about the lab is available at https://sanadlab.org . What the Program Offers Full-time paid research position for up to 3 years
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29 Jul 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Economics Mathematics Environmental science Geosciences Researcher Profile Recognised Researcher
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networks. Data Collection: Conduct in vivo neurophysiological recordings and behavioral assays in mice and tree shrews. Data Analysis: Process large-scale neural datasets, applying computational tools
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with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and
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one of the following fields: process-based model development, Earth system model simulation and analyses, data assimilation, large-scale data collection and synthesis, high performance computing, and
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improvements can be made. About the role In this role, you will work closely with a team of NHS service data engineers and analysts and university researchers to develop large, linked datasets, based
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. The Humboldt-Universität zu Berlin is bound by collective agreements and applies the TV-L HU. Information on pay grading and the annual salary scale can be found here: https://hu.berlin/ETRL . Data protection