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college, please https://www.khoury.northeastern.edu/ Responsibilities: Teach computer and information science courses for the undergraduate and graduate programs for the Khoury College of Computer Sciences
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of Computer Vision. A successful candidate will be expected to lead a research team of graduate students as well as teach at the undergraduate and graduate levels. The position is open to individuals with a PhD
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and hard-working lab group, with a shared vision to improve the understanding and management of neurodegenerative disorders using big data methods and machine learning approaches. Click the 'Apply
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lectures on the following modules: Analog Signals and Systems (45AH) Digital Signals & Systems (45AH) Machine Learning (45AH) Operating Systems/Computer Architecture (45AH) Computer Vision/Image Processing
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behavioural, physiological, and environmental acoustic variables. This post would suit someone with a PhD in biomedical engineering, data science, machine learning, experimental psychology, audiology, cognitive
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assessments (EMA), and passively monitored behavioural, physiological, and environmental acoustic variables. This post would suit someone with a PhD in biomedical engineering, data science, machine learning
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. Experience with next-generation sequencing and/or exome/whole genome sequence analysis. Computer programming (e.g. R/Python) and bioinformatics experience. Familiarity with NGS clinical testing, databases
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preferred. Experience utilizing computer vision algorithms and frameworks, including medical image classification, feature matching, edge detection, image segmentation, and deep learning models like
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attendance The NOAHS Lab is led by Prof. Alan Wang (alan_wang@baylor.edu), who is the Mearse Endowed Chair Professor at the Department of Electrical and Computer Engineering. During his research career, Prof
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interdisciplinary professional partners. • Other duties as assigned. Requirements: • PhD degree in computer science, applied mathematics or electrical engineering, with a focus on computer vision/machine learning