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artificial intelligence/geospatial AI, methods of machine learning and deep learning development of computer vision applications and image recognition methods analysis and production of big data, including
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information about the position may be obtained from Director of Clinicum, Professor Klaus Olkkola, klaus.olkkola(at) helsinki.fi , tel. 040 7583655. Enquiries regarding the recruitment process: HR Specialist
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, Professor Klaus Olkkola, klaus.olkkola(at) helsinki.fi , tel. 040 7583655. Enquiries regarding the recruitment process: HR Specialist Tania Sawkins, tania.sawkins(at)helsinki.fi, tel. 02 941 26619. Technical
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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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processes and technology, wood allocation and quality management, value networks of wood products and their circulation. Research Professor must have a credible vision; from research to innovation
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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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funded projects, including reporting and compliance with funding regulations. Maintain accurate documentation and ensure all processes meet regulatory standards. Responsible for: Ensuring projects remain
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production processes and technology, wood allocation and quality management, value networks of wood products and their circulation. Research Professor must have a credible vision; from research to innovation
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of employment for more than 12 months in the 36 months immediately before their date of recruitment. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining
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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