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Field
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. using JAX, based on numerical models such as Higher Order Spectral method, mcsimpy, etc. Collect real metocean data from relevant online databases, datastreams such as from R/V Gunnerus, and experimental
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of ultrasound therapy and their control in real time. This team develops new methods for the control of ultrasonic cavitation, a phenomenon that enables the permeabilization of numerous biological membranes
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necessary to consider also the control methods through which it is possible to increase both machine efficiency and controller efficiency. The overall goal of the project is to develop the control methodology
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with 32 active researchers at the assistant, associate or full professor level and currently with 16 PhD students. Faculty cover a wide range of research topics and methods and belong to the top 5
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focuses on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based
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understandable explanations from machine learning models. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve
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written communication skills in English are required. Other advantageous qualities include experience with coding (Python\Matlab) and numerical methods, as well as familiarity with concepts in complex
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the UK Lead on participant recruitment and conduct qualitative research using participatory methods and semi-structured interviews Analyse data, contribute to co-design workshops, write reports, and
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methods. This will involve using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out
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knowledge of numerical techniques and advanced simulation methods (ANSYS Zemax OpticsStudio) is a plus. • You are expected to be able to carry out the research activities independently and in a critical