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learning algorithms that are focused on human behavior modeling related to video classification using deep learning networks for end-users. Work with other team members to develop and maintain software
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of approaching reconstruction and variability analysis. The project combines applied mathematics, computational imaging, and structural biology. You will develop algorithms, implement and test software tools, and
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role in supporting research design, algorithmic development, data analysis, and coding tasks across CTED’s interdisciplinary projects. Working under the direction of the Principal Investigator (PI), Dr
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Science Programs, and MS in Computer and Information Science (https://cse.aua.am/ ) invite applications for a full-time faculty position in Machine Learning at the rank of Assistant Professor, starting in
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the communication system for prototypes of the autonomous monitoring system for invasive wasp species (Asian hornet); (2) to support the programming of AI algorithms for image recognition; (3) to develop the web
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validation (V&V) techniques for space systems, software and algorithms with a focus on specific challenges of space-borne perception and proximity operations uncooperative spacecraft . Develop novel methods
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. Cleaning, structuring, and annotating the data needed to train and validate AI models. Development of AI modules and alert systems: Development and integration of algorithms for analysis, anomaly detection
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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background in mathematical optimization and development of algorithms would be considered an advantage. You are experienced in conducting independent research and highly motivated to develop mathematical
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conducted to assess the feasibility of prototypes in terms of activity tracking, updating game elements, and visualisation capabilities. The second objective of the thesis is to develop models and algorithms