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Field
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. The successful candidate will also be expected to contribute to the formulation and submission of research publications and research proposals as well as help manage and direct this complex and challenging project
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] Subject Areas: Computational Science and Engineering / AI/ Machine Learning , Artificial Intelligence , Data Sciences , Machine Learning Complex Systems Theoretical Physics / Statistical physics Machine
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to maintain optimal responsiveness. • Troubleshoot and resolve hardware, software, and network issues, collaborating with cross-functional teams when necessary. • Implement and enforce security protocols
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an effective network across a complex organisation Ability to manage priorities under pressure Accuracy and attention to detail with ability to maintain confidentiality Ability to work under pressure in a busy
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expected to plan appropriately for their own future career development, which may include networking and submitting funding applications. This is a fixed term post of up to 20-months duration. Main Duties
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Engineering, Agronomy, Soil Science, Ecosystem Science or closely related field at the time of appointment. Proven experience in independently executing complex and high-responsibility assignments in support of
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to writing of journal articles and conference presentations Operate within area of specialism and collaborate with a wider interdisciplinary research team Participate in wider networks, including the Adult
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are supported with recommendations on how to best improve their sustainability achievements; Leading and working in project teams that vary in size and complexity. These may vary from about five colleagues
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/ ). The candidate is expected to support Prof. Katrin Vorkamp’s research in this centre, with possibilities for networking and exchange on PFAS. However, the candidate is also expected to contribute to Prof. Katrin
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as a model organism complemented by in vitro biochemical systems. The insights gained from this well-controlled model will provide a foundation for understanding analogous processes in more complex