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equipment. Access to cell biology and live-cell imaging laboratory. A well-established international collaboration network in biomedical research. Support of team members with diverse backgrounds
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, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment. Duties/Responsibilities: ● Risk predictive model for clinical
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output of the neutral atmosphere dynamics and chemistry of UA-ICON. A requirement will be to install TIE- GCM at the supercomputer of the German Climate Computing Centre, where UA-ICON is running
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assays High-resolution cell imaging and microscopy Data analysis and integrative computational approaches This combination of expertise will prepare you for an independent academic career or leadership
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medicinal chemistry (drug discovery, organic synthesis, total synthesis, and/or methodology); Experience in biomedical imaging (in vivo fluorescence imaging, photoacoustic imaging, dye engineering, and/or
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research approaches. Working closely with nursing partners and clinical collaborators, our exciting work combines non-invasive imaging technologies, deep learning, computer vision, and clinical workflow
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learning technology/AI as a tool to analyze these images and come up with an algorithm to be utilized for early detection of AD/PD when the patient has no visible sign and symptoms. This project is team
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Job Description Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Sciences, Engineering, Neuroscience, Psychology or a closely related
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Molecular and Cellular Biology, Neuroscience, or a related discipline. The candidate must have a strong scientific background and familiarity with C. elegans genetics and gene editing, neuronal Ca2+ imaging
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on an international research project by the start date. • Experience with human cohort management and regulatory procedures • Strong computer skills • Excellent verbal and written communication skills • Strong