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Field
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Jefferis at the MRC Laboratory of Molecular Biology (LMB), within a programme on comparative neural circuits and behaviour in Drosophila. Specifically, to undertake research to investigate the circuit basis
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-university VLIR-IBOF project entitled ‘MINDFUL: MIcroglia directed NeuroDegeneration FUeled by Lipid metabolism’, prof. Dmitriev and prof. Vergult will put their expertise together to establish neural organoid
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format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
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for pediatric brain tumor research that will be leveraged for discovery science and preclinical testing by multiple members of the Neurobiology and Brain Tumor Program within the St. Jude Comprehensive Cancer
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computational techniques. Engage with neural network generative models to explore new ways of enhancing system resilience across various domains. Stay abreast of the latest developments in resilience research
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, and studies of natural visual behaviors. In addition there is opportunity for advanced data analysis, development of computational pipelines, and cellular and circuit modeling. Applicants must be
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towards this goal. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd
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the data science and AI research capacity, through coordinating and developing research resources, translating cutting-edge methodology research into practical solutions that benefit multiple research
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growing groups of computational neuroscientists and psychiatrists and will have opportunities to collaborate with basic and clinical scientists working in such areas as learning and plasticity, neural