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Field
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to target specific transcription factors (iii) use of high content imaging and AI to phenotype these cultures (iii) use of bulk and single-cell RNAseq to characterise the transcriptional profile of each cell
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studies and computer simulations Collaborate with the BMAD development team at Cornell University by implementing new features into the code Participate in the EIC design effort in a more general sense
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
innovative and cutting-edge research in the areas of neuroscience, cardiovascular biology, cellular cytoskeleton, cell motility and imaging. The Department houses one PhD program: the Cell Biology and
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to developing software solutions for data collection, signal processing (e.g., drift correction) and visualization. Ultimately, the goal is to demonstrate the prototype at the seabed. The candidate is expected
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, and Simultaneous Localization and Mapping (SLAM) is desired. The position is open to PhDs with background in robotics, controls, AI, and/or computer vision. The candidate is expected to work in a highly
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the role of land-atmosphere interactions in modifying summertime temperature distributions. The selected candidate will develop and analyze a hierarchy of numerical modeling simulations to advance process
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with research labs to streamline their TC processes at the institute level Production, QC, and advancement of stem cell and organoid differentiation media Molecular and functional QC of critical TC
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group aims to determine regulatory pathways affected by disease by implementing the use of spatial proteomics combined with transcriptomics and live imaging. The total proteome of a neuron includes a vast
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biological basis, through technological processes and mathematical support. Your profile We are looking for a candidate with proficiency and documented research experience particularly in immunology and/or
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We are recruiting a postdoctoral researcher/Research Associate in Musculoskeletal (MSK) Imaging, with an appropriate level experience in magnetic resonance and signal processing of image data