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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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programming languages such as Matlab, Python, C/C++. Familiarity with cloud computers. Experience with MRI and medical physics. Desired Qualifications* Familiarity with Docker and Kubernetes, and their
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interfaces with imaging platforms. Operation of ARTIS Pheno hybrid IR and Vascular imaging rooms. Able to produce and modify quality post operative imaging and be able to identify appropriate anatomy
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to develop, edit, publish and curate course materials (content templates, images, multimedia, web resources, and electronic library materials) in the Canvas Learning Management System Lead the quality
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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work with a variety of AI and machine learning frameworks, including open-source libraries (e.g., Hugging Face, LangChain, spaCy), cloud AI platforms (e.g., AWS SageMaker, Amazon Bedrock, OpenAI, Azure
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research team including experts at NYUAD and Cleveland Clinic Abu Dhabi with a demonstrated track record in vision science, neuro-imaging, neuro-ophthalmology and deep learning. 2) Using Advanced Imaging
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. This role, as part of the OTDI Endpoint – Learning Environments team, supports technology deployments in classrooms, computer labs, and conference rooms, serving as a subject matter expert and providing