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Field
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technology transfer and an insilico approach to the development of continuous processes based. The project will use as a baseline the mAb solutions platform process and standard downstream operations as
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particle size changes due to breakage and agglomeration. The rates are dependent on process parameters (e.g., impeller speed and operation) and material properties (e.g., hardness and flowability
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Over 80% of adolescents worldwide are physically inactive, and adolescent diet quality is often insufficient for optimum health and well-being. Given the rapid technological and environmental
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View All Vacancies Physics & Astronomy Location: UK Other Closing Date: Saturday 21 September 2024 Reference: SCI281 Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George
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Description of thesis topic Turbulence in magnetic fields, or magnetohydrodynamic turbulence, is a fundamental process that underpins our understanding of a variety of natural and industrial
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of continual learning and Natural Language Processing (NLP) to automate the cyber-attack attribution process . - Establish solutions for automatic identification of attacker-oriented countermeasures
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model of complex systems, considering both cyber and physical aspects, and the human element. Use techniques like Attack Trees and Bayesian Attack Trees to predict attack stages and identify compromised
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way to overcome the limit of theoretical methods and measurement technologies to acquire the needed fine-scale data to investigate the fundamental physics. The project will build on the Mathematical
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& Security (CISDnS), which will recruit motivated and inquisitive candidates across the themes of Digital, Physical and Biological systems to provide a diverse and interconnected cohort training environment
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr. George Gordon and Dr. Abdelkhalick Mohammad (Faculty of Engineering) Start date: September 2024 Duration: 3.5 years