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include AI, machine learning, automation, space data processes and the impact of digitalisation on ways of working, communicating and building business. We are strongly networked and responsible actors in
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to teach comprehensively within the field of business studies. When assessing the qualifications of the candidates attention will be paid to teaching experience within the field of the programmes
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project “Second Machine Age Knowledge Co-Creation in Space and Time”, funded by the Academy of Finland. The project analyses the processes of knowledge creation and creativity in organisations (companies
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Economy , and Vebic ). Furthermore, ability to teach on the Bachelor's and Master's programmes in the field of Geoinformatics is considered a merit. Doctoral degree in Geography or Regional studies
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digitalisation, the state of the art technologies and data economy. To name a few - Artificial intelligence and machine learning in industry and decision making; Smart industry and robotized logistics
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Technology management you will: Contribute to core teaching on the BSc and MSc Industrial management programmes Provide excellent supervision for MSc and PhD students Undertake research and lead on projects in
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Technology management you will: Contribute to core teaching on the BSc and MSc Industrial management programmes Provide excellent supervision for MSc and PhD students Undertake research and lead on projects in
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working time for the Project Researcher (PhD Student) is 1612 hours. Requirements You have a master’s degree or a PhD in a relevant field. For example mechanical engineering, with a specialization in
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Experiments and Low Temperature Combustion Combustion Engine Experiments and Engine Noise Measurements/Separation The call is primarily aimed at experienced researchers (PhD or MSc with thorough industrial
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working time for the Project Researcher (PhD Student) is 1612 hours. Requirements You have a master’s degree or a PhD in a relevant field. For example mechanical engineering, with a specialization in