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evaluation of modal-decomposition techniques applied to data from high-fidelity numerical simulations of landing-gear aeroacoustics. The researcher will develop and implement modal-decomposition methods using
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, as well as from industry. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294560/phd-research-fellow-in-deep-learning-for-medical-imaging-and-multi-modal-data-in
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, multi-modal data, and GPU-accelerated machine learning for materials science. Information We are seeking two highly motivated postdoctoral researchers to join the Horizon Europe project SIMU-LINGUA, a
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-modal models combining clinical, genomic, and immune analyses. - Participate in predictive modeling of oncological outcomes and treatment response. - Contribute to the identification of novel therapeutic
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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. Advanced Functional Materials 31, 2006824. https://doi.org/10.1002/adfm.202006824 Profile and skills expected: - Master 2 (or equivalent) with knowledge of wave physics, instrumentation and a taste for
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microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a joint project, please describe your specific contributions. Briefly discuss the
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with Mathematics Department. Apply assessment and statistical methodologies to coordinate student and tutor learning modalities and processes. Create the scheduling and coordination of Math tutors. Keep
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research centre dedicated to understanding normal and pathological brain function and developing new diagnostic and therapeutic approaches. Website: https://neurosciences.univ-grenoble-alpes.fr You will be
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 days ago
started to play a relevant role in the analysis of multimodal (different data sources) healthcare information, towards optimizing patient treatments. However, healthcare data is sensitive and requires