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Field
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evaluate innovative methods based on generative models and Vision-Language Models. Design, implement, and validate deep learning approaches for vision applications. Publish research results in leading
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neuroscience, and brain-computer interfaces, machine learning and deep learning, statistical modelling, regression methods, and uncertainty quantification, calibration, interlaboratory comparisons, and
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discipline Strong experience in integrating several of the following components: Deep learning and LLMs for molecular biology Vision foundation models for pathological image analysis Multi-omics datasets (e.g
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wellbeing and allows you to be a part of the life of a vibrant and active college campus. To learn more, go to Baylor Benefits & Advantages. Explore & Engage Learn more about Baylor and our strategic vision
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
hand-eye coordination, and a high level of concentration to do challenging techniques. Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
hand-eye coordination, and a high level of concentration to do challenging techniques. Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https
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reproducible analysis workflows Familiarity with computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability
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. To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Postdoctoral-Research-Fellow--Moderna---Clinical---Quantitative-Pharmacology_R139074 Copyright 2025
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computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability to communicate scientific results clearly through
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of deep learning in many disciplines, particularly computer vision and image processing. Consequently, coding architectures based on deep learning and end-to-end optimization have been proposed [Ding 2021