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position involves assisting in the development, deployment, and evaluation of AI-based models and tools for engineering applications. At the end of the project, whole work repository needs to be uploaded in
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manner, collaborates effectively, abides by policy, contributes to a positive and productive work and learning environment, and models these behaviours across the institution. Builds and leads diverse
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REQUIREMENTS We are looking for a graduate student with background in petroleum and natural gas engineering to work on development of advanced AI based models for drilling optimization and wellbore stability
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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translational projects employing single-cell sequencing, immune profiling, transgenic models, and molecular biology to uncover pathomechanisms and therapeutic targets in arthritis, osteoporosis, intervertebral
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problems. Responsibilities may include: Assisting with clinical data analysis and preprocessing Developing and evaluating AI and machine learning models Supporting research in predictive modeling and
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This KTP aims to position Jesmonite as a market leader in sustainable composite materials. The project's vision is to embed environmental responsibility at the core of Jesmonite's product innovation
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to model development, experimentation, data processing, and performance evaluation as part of an active research environment. Responsibilities Implement and experiment with computer vision models using
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Foundation–funded research project developing the next generation of IoT‑enabled, thermoelectric energy-harvesting roof tiles that integrate Thermoelectric Generators (TEGs), Phase Change Materials (PCMs), and
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Researcher for the Mechanical Systems Modeling (MSM) Group. The Electric Motor Researcher will conduct detailed analysis of electric motors and motor drive systems used in gas centrifuge applications