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applied to computer vision and image analysis. Analytical thinking and problem-structuring skills, including the ability to abstract complex systems, identify core research challenges, and develop
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computer vision, deep learning, and logical reconstruction techniques. The research investigates how multimodal imaging modalities - including scanning electron microscopy (SEM), photon emission microscopy
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Assist in developing AI-based computational tools for analyzing biological images. Help implement machine learning, deep learning, computer vision, and image processing algorithms. Work closely with
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of expertise Most candidates will have experience with data science or machine learning, but ultimately, we’re more interested in how you think and learn than what you currently know. PhD or other research
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various relevant computer software applications. • Assist with literature research, editing and preparing manuscripts, scientific illustrations and computer graphics for publication. • May perform
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Job Description Apply now Req Id: 42630 Job Title: Post Doc Research Associate City: West Lafayette Job Description: Job Summary Postdoctoral position: Machine Learning for Drug Discovery Discover
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designs, techniques and their implementations which are of material significance in addressing important problems). Excellent computer skills and excellent communication skills to effectively interact with
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high-performance computing resources support volumetric image rendering, large-dataset processing, and 3-D visualization at the scale whole-brain microscopy demands. The work is supported by multiple
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modelling, machine learning, or microfluidics. They will also have excellent communication, organisational and problem-solving skills, and a strong interest in interdisciplinary quantitative biology
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evaluation, validation against ground truth, and transparent reporting. Demonstrated research experience in computer vision and deep learning applied to biological microscopy data - including image