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this email address will not be accepted. The University of Nottingham is an equal opportunities employer and welcomes applications from all sections of the community. Our university is a supportive
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. We are a highly international and research-oriented Department. More than 30 full-time junior and senior professors together with numerous PhD students form an international community dedicated
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the literature within the field, and able to work independently as well as within a team. You will be able to communicate your work both internally and externally, manage collaborations with other laboratories in
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communication skills and the ability to work co-operatively as part of a team. Experience of collecting data from, or working with, infants or young children, including individuals with developmental conditions
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Postdoctoral Researcher: Oxford Centre for Emerging Minds Research ‘All About Me’ (Adolescent Focus)
communication skills and the ability to work co-operatively as part of a team. Experience of collecting data from, or working with, adolescents and young adults, including individuals with developmental
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(UO). A key output from SMARTbiomed research is software for use by the research community. The appointee will be expected to contribute to the activities of the Pioneer Centre for SMARTbiomed including
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, enhancing, and running code in R. You will have excellent communication skills with the ability to talk to different audiences, as you will be collaborating with a team of researchers across multiple
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techniques Proficiency in statistical software (e.g., SPSS, R, or similar) Strong communication, teamwork, and flexibility. As one of the largest employers in Oxford we pride ourselves in the great experience
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conferences Good teaching skills and experience in university teaching Excellent written and spoken German (C2) Excellent written and spoken English (C1) Team player with strong social and communication skills
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly