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The role We are seeking an exceptional Associate Professor in Data Science / Statistics to join the University of Bristol’s Mumbai Enterprise Campus (MEC) – a flagship transnational education
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about professional development and eager to contribute to a pioneering academic venture. Additional information You can apply for the role at the below link - https://emeritus.darwinbox.in/ms/candidate
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positions in Computer Science. Faculty specialising in data science, machine learning (deep learning, reinforcement learning, multimodal learning), Generative AI, and computer graphics are especially
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
or senior professors from world-class universities. Recruitment Information: https://english.pkusz.edu.cn/info/1061/2172.htm PKUSZ: https://english.pkusz.edu.cn/index.htm PKUSAI4S: https://ai4s.pkusz.edu.cn
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identification. This work will involve the analysis of large-scale, multi-modal datasets, including genomic/multi-omic data (short- and long-read based), imaging and health records, using state-of-the-art data
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Background Michabo Health Science Limited is a growing spin-out company from the University of Birmingham. We are leaders in the innovation and application of molecular toxicity data from ‘omics
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and technical staff across a variety of programmes. (Desirable) Communicating and influencing Communicate new and complex information effectively, both verbally and in writing, engaging the interest and
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project management, with a background in practice or teaching in several areas as detailed in the Candidate Information. The Lecturers will be expected to deliver and manage several programme modules and to
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construction and project management and will have a background in teaching as detailed in the Candidate Information. The successful applicant will be responsible for ensuring the GIFT CPM programme meets
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software with academic and technical staff across a variety of programmes. (Desirable) Communicating and influencing Communicate new and complex information effectively, both verbally and in writing