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technology, plants, animals, environment and society. Many future trends in agriculture require adoption of new technologies and their integration within existing processes. Electrification of machinery
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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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. 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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system or additional information about the application process, please contact HelsinkiUni Help, uni-help@helsinki.fi . The closing date for the applications is on Sunday the 15th of February 2026. Please
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their application via the ”Employee Login” button. If you need technical support with the recruitment system or additional information about the application process, please contact HelsinkiUni Help, uni-help
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@helsinki.fi . Further information about the recruitment process can be obtained from recruitment@helsinki.fi . A diverse and equitable study and work culture is important to us. That is why we do our best
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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