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Field
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on research projects spanning evaluation of deep learning neural networks trained on signed language recognition. The fellow will work closely with the PI Annemarie Kocab and collaborator Alex Lu , Senior
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, analysis, and interpretation of the data generated throughout the project. Applicable legislation and regulations: Statute of the Scientific Research Fellow: https://dre.pt/web/guest/legislacao-consolidada
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solutions that improve access, experience, outcomes and equity for patients and families. For more details, please view ntu.edu.sg/pcfm and https://www.ntu.edu.sg/medicine/research/office-of-patient
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June 2029 Remuneration: Level C from $155k + 17% superannuation & leave loading Location: Kensington, NSW (open to other locations in Australia) Benefits: Cultural Leave and Indigenous Employee Network
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, epigenomics, nucleomics, etc.) Multimodal spatial and single-cell data visualization 2D and 3D bioimaging data visualization Data analysis and data management infrastructure for biomedical data visualization
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for mixed-methods studies across design, delivery, analysis and dissemination. The role includes producing peer-reviewed outputs, supporting funding applications, and translating research into practice and
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has been steadfastly committed to serving society by advancing analysis- and evidence-informed policy. Guided by this exacting mission, our community of faculty, students, and alumni from the public
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of Public Policy has been steadfastly committed to serving society by advancing analysis- and evidence-informed policy. Guided by this exacting mission, our community of faculty, students, and alumni from
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policy, FAIR principals and AI. • Build professional networks through secondment and job shadowing at EMBL and ARISE2 partner organisations ARISE2 projects should align with EMBL’s research areas—such as
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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 2 months ago
transport, metabolism, chemical biology, functional genomics, proteomics, structural analysis, bioinformatics, imaging and physiology, machine learning, drug discovery. The work for Track1 will initially be