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plate array microscope for simultaneous time-lapse video microscopy, enabling high-throughput single-cell analyses of rapidly migrating cells. You will be responsible for Developing new machine learning
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. Duties include: Organize and run the N-STORM super-resolution system and the A1 confocal system; teach the PBS neuroscience community for super-resolution and confocal microscopy use; optimize
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of these receptors in cancer growth and progression using microscopy, cellular and molecular techniques. You will gain hands-on expertise in cutting-edge techniques, including: advanced cell microscopy at the Wolfson
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support machine learning applications for analyzing electron microscopy images of nanoalloys. Model interactions between nanoalloys and carbon substrates to reflect experimental conditions, incorporating
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data towards building more complete models of replication. • Validate results in vivo mosquito models using a range of microscopy and biochemical techniques. The researcher (M/F) will join the Mechanisms
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use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for microscopy image analysis are especially relevant. Include a link
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Tunneling Microscopy (STM) and magneto-transport. The ideal candidate should have extensive experience in ARPES. Transport and STM experience would be advantageous. Essential Duties and Responsibilities
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multiple length scales, combining tools such as electron microscopy, atom probe tomography, X-ray diffraction, and micro-mechanical testing. About the research project Bone is a remarkable material that
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instead use live microscopy and automated image analysis to individually study the behaviour of thousands of cells. This single cell approach will allow us to resolve key checkpoints in the germination
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Level 46 Salary Range $52,021-85,800/year Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: https://hr.uky.edu/employment