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on mechanical properties, such as ability for elastic or plastic deformation. The candidate will conduct experiments related to assigned research projects, process the data, and prepare results for presentation
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articulation of instruments. These factors affect precision, efficiency, and the ability to perform complex procedures. Traditional laparoscopic tools often lack tactile sensing mechanisms, are rigid, and have
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-edge machine learning, including Large Language Models (LLMs), to enhance decision-making and planning in robotic systems. Qualifications: Applicants must have a PhD in Robotics, Control Theory
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. K.J.Kyriakopoulos in close collaboration with other researchers, PhD students, and undergraduate research assistants. The Post-Doctoral associate will engage with our regular collaborators at local institutions in
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Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a
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combine ophthalmological, neuroimaging and behavioral data, and incorporate deep learning methods to facilitate biomarker discovery and enhance predictive power. As a postdoctoral associate you will join a
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must have a PhD in Robotics, Control Theory, Mechanical or Electrical Engineering, Applied Mathematics, or a closely related field, with a strong focus on robot control, machine learning, and
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professionally responsible member of the research team Participates in the analysis, interpretation and presentation of quantitative data using appropriate computer software programs. Participate in problem
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neural networks. While excellent candidates with other research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD
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applicant will use machine learning for solar photovoltaic (PV) and concentrated solar power (CSP) systems optimization, computational heat transfer and radiative transport using sophisticated numerical