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studies; (ii) Good track record of refereed publications, awards and competitive grants; (iii) Up-to-date knowledge in the literature of media and creative industries with demonstrated strengths along
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research activities. Ideally, the candidate would have relevant experience in recognized institutions and a sound track record in research, scholarly activities, publications in top-tier journals and
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. Applicants should have a strong track record in research evidenced by quality research output in line with international standards. He/she should have strong commitment to research and have an excellent
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as well as focus stacks Investigate instance and panoptic segmentation for endosymbionts and track them over time Implement, train and test novel machine-learning-based solutions on top-tier super
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management science, operation research or other relevant fields for no more than five years prior to the commencement of the appointment. Applicants should have a strong track record in research evidenced by
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, simulations, AI, and machine learning applied to proteins. A track record of research outputs, including publications and presentations at national or international level. Excellent communication and
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the appointment. They should have a good track record of publications and grant applications, a strong commitment to teaching excellence, and an interest in taking on service. The appointee is expected to publish
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Position Description The Department of Electrical & Computer Engineering (ECE) at the University of Washington (UW) invites applications for a full-time, non-tenure-track position as Research Assistant
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and development of the Department. Requirements Applicants for the position should have: (i) A PhD degree in relevant areas in film and media studies; (ii) Good track record of refereed publications
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mentoring graduate and undergraduate students. Qualifications PhD or terminal degree in Architecture, Design, Architecture Engineering, or related field. A track record of publishing and seeking funding