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within WAMC. The student will become part of a diverse and dynamic research community at WAMC, fostering collaboration and innovation. Additionally, there will be opportunities to work with WAMC’s
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research community at WAMC, fostering collaboration and innovation. Additionally, there will be opportunities to work with WAMC’s industrial partners, such as WAAM3D (https://waam3d.com/ ) and members
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communication, and collaborative problem-solving capabilities, which are essential for success in innovation-driven environments. This training prepares graduates for impactful roles in semiconductor R&D
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to High-Fidelity Simulations – The project will use OpenFAST, FAST.Farm, and Digital Twin simulations for AI model validation. The student will have the opportunity to join a vibrant community and team
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be transferable skills in the technical area of optimisation, industrial exposure, or soft skills including presentation skills, project management, and communication skills. There are also numerous
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engage in ground-breaking research with practical applications, promoting community involvement in detecting chemical and biological contaminants and monitoring biodiversity. The successful candidate will
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at least one programming language (ideally python). Experience in medical data processing is advantageous. Knowledge of CI/CD practices (e.g., git), containers (docker, singularity, or similar) and
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to the Net Zero targets. In consultation with the wider CDT community, the work will also include the development of a roadmap for the maturation of the technology and the processes required to have it adopted
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industrial partner will enhance the transferable skills of the student, such as technical communication. It is expected that industrial data will be used for model validation, building skills relevant to data
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student community and maintain a culture where everyone can work and study together harmoniously with dignity and respect. This is reflected in our University values of ambition, impact, respect and