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computer vision to analyze photos and thermal images. Objectives include data collection, improving available degradation models, new machine learning-based classification and risk assessment methods, and
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Industry, with the reference ERA-MIN3/0002/2023 with e DOI 10.54499/ERA-MIN3/0002/2023 (https://doi.org/10.54499/ERAMIN3/0002/2023 ) funded by the Fundação para a Ciência e a Tecnologia, I.P., through
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been granted at least 15 years ago; Demonstrated experience in wolf study methods and monitoring of wolf populations - information provided in the CV and/or in the motivation letter; Proven experience in
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of enrolment must be made available until the contract is awarded, and the candidate may attach a Declaration of honor (https://www.ua.pt/file/66836 ) to confirm that they meet the requirements for enrolment in
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place at DTU Lyngby campus, with additional responsibilities in our Industrial Master’s program in Kalundborg. We value innovative teaching methods, including the use of digital technologies. Research
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(HORIZON-INFRA-2024-TECH-01-01 – R&D for the next generation of scientific instrumentation, tools, methods, and solutions for RI upgrade), this position focuses on data curation activities under Work Package