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tomi.huttunen@helsinki.fi . For enquiries about the recruitment process, please contact HR Specialist Jenni Syväoja (jenni.syvaoja@helsinki.fi ). Where to apply Website https://www.timeshighereducation.com
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. Demonstrated experience in machine learning–based image analysis / computer vision, preferably using microscopy data Strong programming skills in Python Additional background in AI and machine learning
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and production systems engineering automation and digitalization in industry industrial physics Knowledge of process modelling and design, simulation software, scenario-based modelling and testing, as
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Finnish Sign Language. The responsibilities of the appointee include developing approaches that use automatic speech recognition, computer vision models and other computational methods to annotate the data
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across connected forest–lake ecosystems. By integrating multi-taxa field data, trait-based ecology, experiments, and advanced statistical analyses, TRACE aims to uncover how ecological processes propagate
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vision models and other computational methods to annotate the data, and verifying the quality of these annotations using human-in-the-loop approaches. In addition to conducting research, the post-doctoral