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mandatory for signature of the contract. More information can be obtained at: https://www.dges.gov.pt/en/pagina/degree-anddiploma-recognition . Selection process The selection of candidates will be based on a
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of the sea, with a focus on questions related to marine protected areas About the position You will primarily work on developing and applying video-based methods for monitoring fish in protected areas and
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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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of this unusual Brain-Computer Interface. More information: (7) BRAINET: Overview | LinkedIn The doctoral candidate at Tampere University will develop tools and methods to assess the effects of the non-invasive
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the recruitment process, please contact HR Advisor, hr-elec@aalto.fi . Want to know more about us and your future colleagues? You can watch these videos: Aalto University – Towards a better world , Aalto People