221 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" PhD positions in United Kingdom
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that will consider the electromagnetic aspects, through computer modelling and simulation, and then identify material systems that enable the design and manufacture of antennas for test and characterisation
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aircraft, utilized for research into thermal management and system health monitoring, supporting studies in military aircraft systems. Engaging with these facilities allows students to acquire practical
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of the Manufacturing Technology Centre (MTC) and academics within the Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art
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This exciting opportunity is based within the Power Electronics and Machines Centre (PEMC) Research Group at Faculty of Engineering which conducts cutting edge research into enabling technologies
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is advantageous but not mandatory—an eagerness to learn and innovate is key! Full training will be provided. Why This Matters Efficient storage technologies are essential for a carbon-neutral future
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biosecurity strategy. We will support you to learn key technical skills including in synthetic biology, in vitro diagnostic assays, and designing your own diagnostic experiments. Training will include access
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academia, government, and industry, with opportunities to engage with Defra and APHA stakeholders and contribute to national biosecurity strategy. We will support you to learn key technical skills including
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distortion that arises in a complex aero-engine intake. This is predominately a hands-on experimental aerodynamics project with the goal of developing an approach to synchronously acquire velocity and total
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intensive, Boston-based institution. Founded in 1898, Northeastern received $230.7m of external research funding in 2022, and is the recognized leader in experience-driven lifelong learning. It has campuses
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cell membranes. What you will do/learn: Synthetic and material science: assembly of nano-platforms with specific functionalities and model bio-membranes and characterisation using advanced analytical