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of carbon capture processes. The successful applicant must hold a PhD (or about to obtain) in chemical engineering, mechanical engineering, physics or related discipline (e.g. mathematics or other
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physics and optical spectroscopy. The successful candidate will be expected to conduct and lead their own experiments whilst also supervising the activities of junior group members and PhD students
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, including industrial engagement and project planning. Essential Criteria A degree in Engineering or a related subject. A completed (or near-completion) doctorate (PhD or EngD), or equivalent industry
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practices into teaching materials and methods. Willingness and potential to develop independent /collaborative teaching Desirable PhD Teaching qualification or in the process of obtaining one or be committed
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degree or PhD in an area relevant to Environmental Science Experience of supervising and/or engaging with students. Possess knowledge and personal experience of academic syllabus development and delivery
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about 20 people, consisting of postdoctoral and PhD researchers and faculty with expertise in NLP, NLG, Ethics in AI, Reasoning, Generative AI, Multimodal and Embodied AI, machine learning, and
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bodies. Mentor and supervise students, including PhD students (as appropriate), providing effective, well documented, and timely feedback, both formative and summative. Provide pastoral support
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, preparation time, assessment & feedback time – all over a 12 to 15 week teaching & assessment semester. Qualifications/Experience: PhD or Masters in a relevant field At least one year of previous teaching
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-leading research. Education, Qualifications and Experience Essential A PhD in physics or engineering with a specialisation in ultrafast nonlinear optics and/or ultrafast spectroscopy, or extensive
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hours within the classroom, preparation time, assessment & feedback time – all over a 12 to 15 week teaching & assessment semester. Qualifications: PhD or Master's degree in the Architecture discipline