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- ISGLOBAL
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and processing of multi-omics biomedical data from various public sources. 2. Development and training of AI models based on Graph Neural Networks (GNN) and Kolmogorov-Arnold Graph Neural Networks
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and modelling of omics, clinical and imaging data, development of reproducible pipelines, application of machine learning techniques, integration of multi-modal data, scientific publication and
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excellent coordination skills across multi-partner environments. Key Responsibilities: Support the Pilot Line Director and Managers in the creation and operation of the Data Platform and Gateway. Support the
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for sensing and positioning services. Where to apply Website https://networks.imdea.org/job/phd-position-in-integrated-sensing-and-communica… Requirements Research FieldComputer science » OtherEducation
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. The Researcher will work in the construction and simulation of context-specific cell-decisions multi-scale models for predictive analysis in projects developed in collaboration with experimental groups
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Simulation of neuron-specific current densities and integration with active neuron models Design and implementation of multi-objective optimization methods for stimulation patterns Development of objective
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impact-based health early warning systems. The successful candidate will join the research team of Dr. Joan Ballester Claramunt (https://www.joanballester.eu/ ) at ISGlobal within the framework
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processing, alongside neuromorphic schemes targeting an order-of-magnitude power reduction in multi-antenna installations, a 10 dB BER improvement, and a 3 dB increase in processing-unit noise tolerance
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analysis and association studies with molecular and clinical variables. · Integration and harmonization of large-scale omics datasets from multiple sources. · Identification of molecular signatures and
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the design of AI for mobile network operation [1-12], which represents an ideal foundation for the student to make meaningful contributions to the field. Where to apply Website https://networks.imdea.org/job