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biology Experience and expertise in using model organisms (preferably zebrafish) Experience and expertise in imaging techniques and image analysis Possess strong bioinformatics skills for analysing and
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control for iPSC lines. • Establish and optimize experimental protocols and analytic pipelines for assays (e.g., imaging-based biomarker assays, metabolic flux assays), multiomics profiling, and
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mathematical background Skills: Seismic station installation and operation, computer coding, seismic data processing, strong written and oral communication, experience with manuscript development, experience
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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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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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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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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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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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Programming, Data Analysis, Data Interpretations, Experimentation, Imaging Analysis, Laboratory Operations, Laboratory Techniques, Magnetic Resonance Imaging (MRI), MATLAB, MRI Analysis, Multiple Sclerosis
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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science