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at the intersection of marine ecology, ocean technology, machine learning, and high-throughput biological imaging. This position offers a rare opportunity to help pioneer the use of advanced shadowgraph imaging systems
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qualifications Master’s degree in Information and Communication Technology (ICT), Computer Science, Artificail Intelligence, Machine Learning, Data Science, Electrical and Computer Engineering, or a similar
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for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Interest or experience integrating social and ecological data is an asset Communications & Collaboration : A record of independent research
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describing your academic background and career Curriculum vitae Statement of current and future research plans Statement of teaching activities and experience Three (3) writing samples Three (3) letters
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agreement n.º 101147547, under the following conditions: Scientific Area: Energy and environment Admission requirements: Master degree in Energy and environment engineering Additional optional skills and
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday
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, ethics of AI, or philosophy of technology). Strong organisational and communication skills are required. Editorial experience is an advantage but not essential. Candidates should be able to work
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-facing tools using operational and simulated data. Support research activities on controller cognitive load, situational awareness, and resilience under current and future ATM concepts. Work