Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
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
-
neuroscience, and brain-computer interfaces, machine learning and deep learning, statistical modelling, regression methods, and uncertainty quantification, calibration, interlaboratory comparisons, and
-
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
-
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
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours 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
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours 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
-
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
-
. 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
-
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
-
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