249 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIVERSITY-OF-SOUTHAMPTON" positions at University of Cambridge in United Kingdom
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printed materials to numerous internal and external customers. This is an exciting opportunity to work alongside experienced staff and play a key part in the continued development of the department and a
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three African Universities, delivers on curricula development, research and innovation & entrepreneurship. The Social Innovation and Entrepreneurship Coordinator will support the Head of Social Innovation
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(employer's contribution is 12.6%). and 36 days' annual holiday (inclusive of public holidays). We encourage career development by providing extensive training & development opportunities. This appointment is
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October 2025) in a relevant subject area. It is expected that applicants will have experience of successfully delivering and developing teaching at University level, including lectures, seminars and small
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contribute to the success of the team. We especially welcome experience of, or willingness to take on, developing and delivering training sessions to staff at all levels on various HR and Recruitment topics
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opportunity for an early career researcher to be develop their curatorial practice around British Art (1700-1950). The post holder will have the opportunity to build partnerships in the University of Cambridge
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developing new catalytic activation modes that lead to new synthetic transformations. As synthetic chemists, we are uniquely placed to leverage expertise in small molecule catalytic systems to design reactions
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a nano source to cater for various throughput and sensitivity requirements. The appointee will receive training in developing quantitative LC-MS methodologies for peptides and proteins, as
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laboratory committed to rigorous, innovative research and to fostering professional development of its members. We provide funding and logistical support for conferences and workshops, guidance on independent
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, including applied to pathogen genomic data. The project will require the development of computationally intensive models and therefore applicants should have experience in coding and a good understanding of