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-depth understanding of data and related algorithms, data analysis, and machine learning. Our cross-cutting theme is machine learning-enhanced computational engineering. You’ll have an excellent
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environment, and continued commitment to your support, learning, training, and development. For further information, please contact Professor Ville Uusitalo, +358 40 586 4486, ville.uusitalo@lut.fi, and
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rewards for high-quality publications, flexible working hours and remote working arrangements, occupational health care, a collegial work environment, and continued commitment to your support, learning
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environment, and continued commitment to your support, learning, training, and development. For further information, please contact Lea Hannola, Associate Professor, +358 40 822 3982, lea.hannola@lut.fi
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leadership principles and operational excellence. The purpose of the professorship at Ekhva is to advance continuous improvement, process development, and quality enhancement in order to build a learning
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for high-quality publications, flexible working hours, occupational health care, a collegial work environment, and continued commitment to your support, learning, training, and development. For further
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working hours, occupational health care, a collegial work environment, and continued commitment to your support, learning, training, and development. For further information about the position, you can
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, a collegial faculty environment and continued commitment for your support, learning, training and development. The closing date for applications is 12 September 2025 at 12 noon, Finnish local time
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, flexible working hours, occupational health care, a collegial faculty environment and continued commitment for your support, learning, training and development. The closing date for applications is 11