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Collaborate with colleagues in Advancement and across the Museum, including scientists, educators, and exhibition specialists, to design compelling donor experiences, proposals, and recognition. Champion a
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Reference Number 101178498 Is the Job related to staff position within a Research Infrastructure? No Offer Description Campus Iberus (https://www.campusiberus.es/?lang=en ) is currently offering PhD contracts
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of multi-component hardware systems (Preferred) Computer vision -- experience with image processing methods and machine learning techniques for pattern recognition (Preferred) Tactile sensing -- experience
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at: http://www.ncl.ac.uk/about Key Accountabilities In conjunction with the techncial team leader for the activity, be responsible for,the day-to-day operation of specific facilities or pieces of equipment
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visualizations for defined datasets. Participates in identifying trends, evaluating data quality, and designing metrics. May occasionally support basic data science tasks such as pattern recognition or simple
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technology, and professional disciplines at the undergraduate, master’s and doctoral levels. JMU has achieved national recognition for the high quality of its academic programs, focus on maintaining strong
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at the Melbourne CBD campus About the Role The Lecturer is expected to contribute to the teaching and research efforts of the School of Design, in disciplines related to their field of expertise. More specifically
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facilities and community partners. Oversee and support the academic promotion process for non-tenure line teaching faculty within the college. Student Success: Collaborate in the design and execution
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facilities and community partners. Oversee and support the academic promotion process for non-tenure line teaching faculty within the college. Student Success: Collaborate in the design and execution
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. Machine Learning and Artificial Intelligence: Experience in applying ML and AI techniques to engineering. This includes data-driven modeling, pattern recognition, predictive maintenance, and intelligent