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Additional Information Benefits full-time position, annual leave 36 days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc
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complex systems. Development and application of theoretical tools that combine experimental data and atomistic computer simulations to provide a comprehensive picture that is difficult to achieve through
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that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
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: Demonstrated abilities in basic laboratory techniques helpful, but not required. Exposure to applicable computer technologies, including specific software applications (Microsoft Office/365), may be required
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ranking. You can find more information at the following link: https://www.uc.pt/academicos/graus/reconhecimentos . III.2.3. Autonomous copy (one PDF file per paper) of the 3 to 6 papers that the candidate
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, maintaining the IRB protocol, computer programming for behavioral task design and fMRI, and coordinating various studies at the lab. Responsibilities Performing online experiments (e.g., Amazon, M-Turk) 20
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experimental psychology and cognitive science to augment human intelligence with AI. Your experience and ambitions eligible for PhD study at Aalto University (https://into.aalto.fi/display/endoctoralsci/How
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. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling
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processes are based on the principles of Open, Transparent and Merit-based Recruitment (OTM-R). Where to apply Website https://selection.uoc.edu/web/profile/login.aspx Requirements Research FieldComputer
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. Practical computer operating knowledge (Word, Excel, Power Point, Origin) is mandatory. The candidate must be motivated and creative, with advanced communication and teamwork skills