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will involve training deep learning models to compress raw data into structured feature spaces required for downstream surrogate modeling. Qualifications Education and Experience: Undergraduate student
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neurological disorders, novel applications of deep brain stimulation technology to the treatment of neurological and psychiatric disease, the mechanisms of deep brain stimulation and finally motor and reward
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and memory, and with the design and implementation of cutting-edge data analysis pipelines that use deep learning to reconstruct perceived information from functional MRI in real time. For more
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France 91120, France [map ] Subject Areas: Applied Mathematics - statistical learning, deep learning, AI for mathematics, AI for Science Appl Deadline: 2026/03/24 03:59 AM UnitedKingdomTime (posted 2026
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Europe Marie Skłodowska-Curie Actions Doctoral Network (MSCA DN) COMBINE. The successful candidate will undertake research on: Deep learning for solidification in multiphase flows with radiative heat
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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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development. You enjoy supervising and teaching and using your excellent communication skills to inspire the coming generation develop the same deep passion you have for quantum technology. You always have an
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: Microbiome; Bacteria; Microbiology; Metabolites; Nuclear Magnetic Resonance, Mass-spectrometry, Chemometrics; Multivariate statistics; Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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microfluidics, nano-electronics, nano-biomaterials, big data, and deep learning. Applicants must hold an M.D., Ph.D., or equivalent degree and have extensive postdoctoral experience, along with a strong