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diseases, particularly in cardiometabolic, brain, and reproductive health. The Centre integrates emerging big data types - such as multi-omics, longitudinal health records, and clinical imaging - to drive
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related to the upper human airway. The successful candidate will contribute to cutting-edge research projects involving computational models, medical image data processing, and developing idealized and
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paradigm known as "knotted chiral meta matter" (KCM²), which cross-pollinates topology and chirality across disciplines and scales. While our work is rooted in fundamental research, many of WPI-SKCM² efforts
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
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these cookies we will not know when you have visited our site, and will not be able to monitor its performance. Back Button Cookie List Search Icon Filter Icon Clear checkbox label label Apply Cancel Consent
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the Research Council of Norway. In this project, we will use advanced time-lapse imaging, numerical simulations, and reactive mixing theories to better understand and predict the role of fluid mixing as a driver
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platform that utilizes deep learning to analyze images of bruises. Responsibilities: Responsible for developing components of the project platform or deep learning application; Supervises a team of graduate
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modulation using acousto-optical and electro-optical modulators, delivery of the beams to the inside the vacuum chamber, and implementation of the diffraction limited optical system for ion imaging and
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probes for sensing and imaging, the advancement of optical microscopy techniques, mass spectrometry, and NMR spectroscopy. Applicants will have a PhD or equivalent degree with postdoctoral training
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of the projects. Basic knowledge in coding language, including but not limited to, basics of Linux, MATLAB, Python. Ability to carry out both wet-lab work for sample preparation and dry-lab work for image analysis