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the successful applicant will develop novel sensing approaches to combine with machine learning algorithms to solve real-world problems in food manufacturing. You will have sound knowledge in electronic
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manufacturing processes for processing using applied AI techniques. We anticipate the successful applicant will develop novel sensing approaches to combine with machine learning algorithms to solve real-world
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deep learning algorithms by leveraging LLMs and compare them with traditional methods; and 4) develop a set of tools on the project's website that can be used to evaluate lexical complexity, readability
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The University of Alabama, Department of Electrical and Computer Engineering | United States | 2 months ago
. Nathan Jeong shjeong@eng.ua.eduAdvanced Signal Processing and Machine Learning Algorithms for Autonomous Vehicles, Prof. Shunqiao Sun ssun21@eng.ua.eduTransportation Electrification and Power Distribution
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organisational goals. Stay at the forefront of AI advancements, translating breakthroughs into actionable solutions. Develop robust algorithms and tools to analyse structured and unstructured data and improve
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slicing, virtualization, SDN/MEC/NFV. Familiarity with AI/ML algorithms, tools, and basic workflows. Good publication record in scientific peer-reviewed journals Preferred Qualifications: Good knowledge
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of Alabama. Conducts research with Professor Moradkhani on a variety of projects. Leads the development of state-of-the art inverse modeling, optimization and assimilation algorithms and computational modeling
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are looking for a senior researcher who will support our institute by developing scientific concepts and algorithms in the field of “Earth Observation” within the activities of the group “Advanced Computing
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, supervised by an experienced senior faculty member (PI). Based upon the information provided in the statements of research, a matching algorithm will be used to match selected individuals with faculty
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with algorithms, numerical methods, signal processing and dynamic system modeling Experience from or formal training within analysis and processing of large data sets, signal processing is mandatory