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: Education: Ph.D. in machine learning, computer science, engineering, physical science or related technical discipline. Experience: Expertise in developing and training AI models Proficiency in Python
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28 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Other Technology » Biotechnology Researcher Profile Recognised Researcher (R2) Application Deadline
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Adaptive Learning in Brain-Robot Interactions School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year
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integrated onto drone platforms engineered by project partners, with the objective of assessing the structural integrity of concrete façades. Objectives The objective of this PhD thesis is to develop a Machine
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Department. Profile You hold a master’s degree in Electrical Engineering, Computer Engineering, Telecommunications, Computer Science, or a closely related discipline, or you will have obtained it by the time
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by guiding schools on system functionality, leveraging data to improve service delivery, and partnering with the senior leader  to refine technology-enabled processes. Reviews NYSED proposals and
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for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD). Create innovative tools and solutions to extract deeper
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on the development of methodologies and techniques of Evolutionary Computation and Machine Learning. V - Initial grant duration: 3 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial
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service to customers and guests. Career Readiness Competencies: Communication Teamwork Technology Essential Functions Responsible for maximizing merchandise sales by assisting customers with purchase
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methods (e.g. machine learning methods and many other methods) to harmonize historical and current pathogen nomenclature, standardize laboratory test methods and result vocabularies, and translate clinical