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; apply the developed methodology to complex heterostructures The postdoctoral researcher will be recruited within the Chemical Theory and Modelling team (http://www.quanthic.org ) of the Institute
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research in machine learning (ML) for applications in High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time
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addition to research, candidates should demonstrate excellent teaching skills or potential in the core and advanced subjects of the Computer Engineering program, including Operating Systems, Data Structures, Algorithms
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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
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earth observation technologies. Our researchers develop cutting-edge algorithms and AI-based solutions for data processing and validation and provide scientific expertise for the implementation of future
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intersection of human-robot interaction and manipulation in healthcare settings. The project involves developing algorithmic solutions for an optometry application where robots assist optometry patients
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a primary emphasis on designing smart algorithms to trigger non-invasive blood pressure (NIBP) measurements at critical times. This will involve leveraging physiological sensor signals such as the
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set the minimum pay determined by rank and step at appointment. See the following table for the salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26
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data analysis, scientific writing and the preparation of research outputs. An understanding of artificial intelligence (AI) algorithm development, particularly its application in animal behaviour
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, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap camera footage for wildlife monitoring and conservation efforts. Job Responsibilities