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national human rights courts, tribunals, mechanisms, and transitional justice processes, and propose potential pathways to justice for victims. This position relates to the second part of the project
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We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image
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are separate from the natural world – upon an increasingly dominant paradigm in environmental science – social ecological systems, which acknowledges that human social systems are part of natural ecosystems
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of the opioid oxycodone on maternal physiology, placental function and fetal brain development in pregnant rats. Work with an experienced research technologist and graduate student to harvest and process tissue
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processing in the mammalian cochlea in vivo , and how these influence central auditory neuronal pathways. The project will primarily involve using in vivo 2-photon imaging and AAV-gene delivery applied to a
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qualifications include: Experience with radio interferometric observing, data processing, and imaging. Experience with modern machine learning / deep learning techniques and software packages. Experience with time
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studies by cryo-electron microscopy (cryo-EM) and/or X-ray crystallography. Perform data processing and model building (e.g., Relion , CryoSPARC , Coot, PyMOL ). Option 2 : Cell Biology Design and execute
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to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered nurses (RNs) caring for patients having colorectal surgery. This is a six-month multisite study funded by the AI
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Microanalytical and Imaging Consortium (SENCR-MIC) and Interdisciplinary Materials Research and Education Laboratory (IMREL). Primary Purpose of the Position: The position’s primary purpose is to conduct research
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; representation from three continents). Our lab’s strength lies in integrating multiple disciplines: Single-cell microfluidics Quantitative (image) analysis Mathematical modelling Microbiology Molecular biology We