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Field
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similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical
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labs framework. This studentship will include cohort-based training and activities, enabling students to gain wider skills and develop valuable personal and professional networks. Project Description
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remuneration package (including 39 days off a year and generous pension schemes). Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your
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regarded as being cyber-physical systems, as they are controlled by digital networks and depend upon software and digital communication systems. The reliance on cyber-physical components is growing as
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strategies that can improve sustainability and resilience in decentralised manufacturing networks. A unique selling point of this project is the opportunity for collaboration with world-leading experts through
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to reach carbon net zero by 2050. Between 40 to 50% of the carbon footprint of a litre of milk is attributed to CH4 production in the rumen (Huhtanen et al., 2022) which also has a negative impact on animal
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requirements. Build appropriate networks within the team. See full advert for full information. Education, qualifications and experience Essential MSc degree in a relevant discipline to the project: social
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modelling software. Practical experience in advanced manufacturing techniques for novel materials. Opportunities to present research at international conferences and build a professional network across
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at international conferences and build a professional network across academia and industry. Development of expertise in cutting-edge experimental techniques, computational modelling, and interdisciplinary
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professional network spanning academia, industry, and national research centres. Through this multidisciplinary project, the student will develop expertise in: Contribute to the development and operation of