81 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions in Ireland
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Energy Research Group on FLOW-COST: Floating Offshore Wind Cost-Informed Site Selection, an 18-month project funded under the SEAI National Energy Research, Development & Demonstration (RD&D) Programme. It
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under the SEAI National Energy Research, Development & Demonstration (RD&D) Programme. It is led by University College Cork with partners Exceedence Ltd and Wind Energy Ireland, and with Flotation Energy
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the development of bespoke solutions for cancer imaging based on spatial analysis and kinetic modelling techniques. This strand would involve adapting in-house models for Positron Emission Tomography data to other
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Applications are invited for the following position: Title of Post: Post Doctoral Researcher (Level 1) ED Plus JOB SYNOPSIS The overall project (ED PLUS) focuses on the implementation of a model of
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Immunologist to join our team as a postdoctoral researcher. At a minimum, applicants should have prior experience of working with murine models of infection and/or murine models of allergy, especially
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to changes in H2AK119ub1 using cancer and neurodevelopmental disease model systems. This will encompass a range of functional genomics, biochemistry and proteomics methods to investigate the precise impact
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minimum, applicants should have prior experience of working with murine models of infection and/or murine models of allergy, especially gnotobiotic models. Applicants who also have prior experience with
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for complex geological properties. Collection of geochemical and petrological reference data to train models is an equally important component of this task. The post will involve spectral, petrophysical, and
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, and refine trust protocols to enhance data protection, security, and efficiency of data-driven applications deployed across federated data space networks. Contribute to the development of a distributed
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
. The host research group leads a number of projects on the development of theoretical and applied methods in statistical modelling, medical imaging data analysis, cancer omics, precision medicine and