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Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Job
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learning, and logical reconstruction techniques. The research investigates how multimodal imaging modalities - including scanning electron microscopy (SEM), photon emission microscopy (PEM), and focused ion
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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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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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dementias • Glial biology and remyelination, including androgen receptor-mediated repair • Advanced imaging and experimental models, including high-resolution two-photon imaging, mini-2P systems, and
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and Atlas Mapping. The position is one of four in a coordinated cluster hire - alongside colleagues in behavioral neuroscience, machine learning and AI, and research software engineering - studying
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independently lead their assigned research initiatives. The Researcher will coordinate and conduct scientific research involving various projects in the areas of mass spectrometry-based imaging, along with
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reporting of methods, data, and results. Design, develop, and evaluate machine learning and AI methods for the rat-to-atlas mapping pipeline, including ML-based image registration, segmentation, and feature