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Field
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decision with multiple data sources. One example is to develop the semi-supervised methods and dynamic system interfacing algorithms to produce an automated and real-time information exchange across
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dynamics, solid mechanics, soft matter or active matter. • To become familiar with simulation algorithms as needed, assist in the development of new ones, test and document any newly developed
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information from high-quality videos that share content with distorted footage as constraints in the learning process of modelling algorithms. This method uses the characteristics and knowledge embedded in high
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algorithms, and decision-support tool development. Responsibilities will include programming, analysing and interpreting data, and contributing to innovative solutions that support maritime decarbonisation
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-rounded academic background ◾Demonstrated ability to develop precision mechatronics system and algorithms ◾Ability to develop kinematic and/or dynamic analysis of mechanical/robotic systems ◾Ability
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for making a diagnosis. When doctors take a bone marrow sample, they prepare slides from the blood to examine it. The amount of plasma cells - specifically, more than 10% of abnormal plasma cells
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development of a collegial, open culture, research integrity and ethical practice. You will also mentor the development of junior staff as required, supervise students and support aspect(s) of management
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
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years full-time; 2-3 years part-time; MPhil: 2-3 years full-time; 3-4 years part-time; Apply now Overview Overview Research sections Formal Analysis, Theory and Algorithms (FATA) Glasgow Interactive
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data, which can be accessed on any current Android device, will enable the production of up to date 3D models at no or low cost, of particular value in developing regions where these models are not