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faculty to develop their full potential. Diversity includes, but is not limited to, groups defined by race, nationality, ethnicity, age, gender, sexual orientation, language, religion, disability and/or
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Join our diverse and inclusive team to transform the future of aviation as part of the UK’s EPSRC Centre for Doctoral Training in Net Zero Aviation. Offering fully funded, multidisciplinary PhD
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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related to quantitative ecology or epidemiology; including the use of statistical or mathematical models E3. Experience and proficiency in the use of relevant software for statistical and mathematical
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and goals Your network and team The project will be led and PhD position supervised by Associate Professor, D.Sc., architect Matti Kuittinen, but you will also collaborate with other professors
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and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing . This is a full time and a fixed-term contract (36 months ) based
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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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techniques. We are a community based on mutual support and collaboration. Through our Doctoral College there are continual opportunities for building important research skills and networking among your peers
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, biologists, and engineers. You will also have the opportunity to present your research at international conferences, expanding your network and gaining valuable experience in scientific communication