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Field
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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strategies that modulate the crosstalk between tumor and immune cells, and develop new image-based screening technologies to identify targets that mediate clinically-relevant cell-cell interactions
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analogous processes in more complex human cellular systems. The research aims to establish mechanistic understanding of molecular networks that maintain homeostasis under stress conditions. Through rigorous
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. Desired Qualifications* Experience with fluorescence imaging, electrical stimulation, computational modeling, image processing. Modes of Work Positions that are eligible for hybrid or mobile/remote work
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electrophysiology in ex-vivo mammalian retina. Record of publication in retinal research. Experience with fluorescence imaging, electrical stimulation, computational modeling, image processing. Michigan Medicine
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-The-Shelf (COTS), all-digital radar systems linked to an array of ultra-stable, ultra-low phase noise oscillators. The project is part of the UK Quantum Technology Hub in Sensing, Imaging and Timing (QuSIT
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as a model organism complemented by in vitro biochemical systems. The insights gained from this well-controlled model will provide a foundation for understanding analogous processes in more complex
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, the Microscopy & Imaging Shared Resource featuring confocal, multiphoton, and super-resolution microscopy systems with live cell imaging capabilities, instrumentation at the Institute for Soft Matter Synthesis and