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Field
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, Psychology, Biomedical Science, or a closely related discipline. demonstrated experience conducting preclinical neuroscience research using rodent models and behavioural pnotyping techniques expertise in in
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vascularized patient-derived organoid platform enabling intravascular dosing, real-time imaging, and downstream tissue retrieval for flow cytometry and single-cell/spatial profiling. The Lab works at
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The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and
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quantum technologies with particle and fundamental physics, materials science, and biomedical applications through deeply coordinated, inter-institutional collaboration. Successful candidates are expected
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, confocal imaging, live animal IVIS and CT-PET machines, X-ray radiation, XCELLigence, Seahorse, ultracentrifuge, Proteomics (Mass spectra), HPLC, etc Conducts background research, independently design
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Institutions. Preference factors: Previous experience in biomedical image and signal processing; Previous experience in computer vision; Minimum requirements: Degree in Computer Science, Informatics Engineering
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, biomedical engineering, microscopy/imaging, or a closely related field. Previous experience in fluidic experimental systems, histology, hard tissue specimen preparation, microscopy, image analysis, micro-CT
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prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is
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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 3 months ago
; and how these mechanisms can be understood, modelled and ultimately perturbed for biomedical discovery. Two scientific tracks Track 1: Computational Biology / Machine Learning for membrane protein
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systems for optimizing adaptive, temporal, high-dimensional systems Data: Real-World Multi-Modal Patient Data: Multimodal biomedical data (omics, medical images, histopathology, single cell/bulk, spatial