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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 22 days ago
imaging system based on the random access parallel imaging (RAP) system platform (https://doi.org/10.7554/eLife.56426 ). The RAP platform quickly collects high-contrast images in multi-well plates using
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CIHR-funded research project focused on exploring the immunometabolic pathways of macrophages and microglia in multiple sclerosis (MS). The Kaushik Lab is committed to fostering an inclusive and
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datasets, processing, visualizing and interpreting data for multiple projects. The lab focuses on developing novel microbiome-based therapies for people with lung cancer and melanoma treated with
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operation of the ATLAS experiment, at the CERN's Large Hadron Collider (LHC) in Switzerland. Our work focuses on building and maintaining advanced detectors and instrumentation to study the fundamental
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include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern technology. Moreover, the close connection with the clinical environment
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Houston. When you apply, we will facilitate the process to identify future postdoc positions that match your interests. If selected for PROS, you will meet with multiple faculty and trainees, connect with
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 8 hours ago
our recent publications in Nucleic Acids Research and Nature Communications . By advancing our understanding of these processes, we aim to contribute to global efforts in combating the dual challenges
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University) – A biostatistician specializing in adaptive clinical trial design and Bayesian modeling, with experience across multiple disease areas. Dr. Lawrence Mbuagbaw (McMaster University) – A research
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, TundraTime project data) - Quantify the spatial and temporal dynamics of plant phenology in response to climate change - Explore below-ground vegetation changes, including root growth timing, across multiple
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electrophysiological techniques AND/OR neuromodulation techniques Background knowledge in electronics and experience in signal processing. Background knowledge of machine-learning, AI, and computational neuroscience