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Field
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simulation of technical systems Interest in practical work with catalysts, laboratory setups and pilot-scale plants Ability to analyse complex interrelationships and work methodically Good written and spoken
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large datasets in wheat, Develop and implement novel approaches for genome-wide predictions of complex traits. Your qualifications and skills: You hold a MSc in plant science, plant breeding, biology, or
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complexity and surface roughness, using computational methods like physical optics and the discrete dipole approximation. Supervisors Entry requirements Applications are invited from individuals with a
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operational constraints of complex HVDC infrastructure, drawing on real-world insights into converter stations, auxiliary systems, and system availability factors. The role will involve developing data-informed
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auxiliary systems that are integral to the operation and safety of offshore platforms. Working within a multidisciplinary environment, the researcher will develop advanced diagnostic models, analyse complex
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promising technology for producing large and complex metal component. Although its potential has been widely demonstrated, significant challenges remain in optimizing the process to ensure the quality
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for complex marine systems. You will be part of a world leading, vibrant research community in marine technology, together with more than 60 PhD students from all over the world. You will explore how emerging
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decision-making and reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and
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laboratory work and analysis of experimental data is a must Since the project is based around rather complex concepts in modern physics, a solid theoretical background in quantum mechanics, statistical physics
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agents, and their effects on particle morphology and filtration performance, providing opportunities to address more complex mechanistic questions. The duties may also include (e.g.) Research within