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Field
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We seek to recruit a Research Associate/Fellow to join our team developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph
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medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts
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publication and contribution to conferences in the field of cognitive neuroscience, physical activity, data science, engineering, brain imaging or related fields. Expertise in analysing MRI and fMRI Brain
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programming to further IIR’s objective to provide a comprehensive picture of the realities faced by immigrants and a broader view of immigrants’ vital economic and societal contributions to specific regions
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targeting neuroreceptors and neuroimmune pathways. The successful candidate will employ a combination of in vitro tissue assays and in vivo imaging techniques to characterize the pharmacological properties
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ligase activation Characterize the polyubiquitin architectures assembled and identify their downstream effectors Develop novel E3 ligase activity-based imaging technologies This position offers a unique
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and imaging for cancer research, with an emphasis on computational pathology to identify biomarkers predictive of treatment response, prognosis, and disease progression. The successful candidate will
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models and patient-derived samples. Apply neuroscience techniques such as electrophysiology or calcium imaging to cancer models. Key Requirements: Competitive candidates should have obtained a Ph.D. in
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, CRISPR-Cas9, drug screens, Fluorescence In Situ Hybridization and confocal and live-cell imaging. More about the position We are looking for a highly competent candidate with strong experimental background
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, and medical imaging) and research methodology (e.g. biostatistics and scientific writing). The fellow will have the opportunity to teach in the anatomy curriculum and to develop a research project with