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focus on performing analysis of the data and computational modelling of neuro-circuits. The project will be carried out with Professor Daniele Faccio at the Advanced Research Centre, University of
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, and analysis of spatial data, using Geographic Information Systems and Artificial Intelligence (AI), and integrating multiple technologies and methods (for example: geographic and statistical databases
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telemetry systems tailored to AI/ML datacenter workloads. It will begin with an analysis of existing in-device data structures and key telemetry use cases, such as packet loss, congestion, and failure
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information on the group and BRC: https://www.southampton.ac.uk/medicine/about/staff/hmha.page and https://www.uhs.nhs.uk/ClinicalResearchinSouthampton/Research/Facilities/NIHR-Southampton-Biomedical-Research
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community of over 500 staff and more than 300 PhD students engaged in cutting-edge research and collaboration. Further information can be found on our website https://www.ucl.ac.uk/biosciences This is an
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Università di Pisa - Dipartimento di Patologia chirurgica, medica, molecolare e dell'area critica | Italy | 14 days ago
21 Mar 2026 Job Information Organisation/Company Università di Pisa - Dipartimento di Patologia chirurgica, medica, molecolare e dell'area critica Research Field Medical sciences Researcher Profile
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, data collection, and analysis - Observation and assistance in clinical assessments of patients with Menkes disease during the contract period. - Collaboration with the Menkes International Association in
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workflows and contribute open source tools for use in data analysis Present your results at international conferences, publish in peer-reviewed journals, and contribute to training activities within
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sciences; experience in human genetic data analysis and bioinformatics applied to Neuroscience, preferably in Psychiatry, including genotyping or WES/WGS data; experience in genetic association studies (GWAS
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, epidemiology, public health, pharmacogenetics, medicine, pharmacology, pharmacy), with a main focus on the use and analysis of large amounts of data throughout the life cycle of pharmaceuticals. The spectrum