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, computer vision and pattern recognition, atmospheric modelling, and computational spectroscopy. We focus on in-depth understanding of data and related algorithms, data analysis, and machine learning. Our
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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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research environment, with continuous support for learning, training, and professional development. You will receive encouraging supervision in collaboration with Associate Professor Anni Tuppura and
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. Lut.fi/en Technical support for using the recruitment system: recruitment@lut.fi . Application period starts: 2026-01-08 08:00 Application period ends: 2026-01-31 23:59 Where to apply Website https
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design and analyse separation processes, develop data-driven or AI-assisted tools, or generate high-quality experimental data that supports method development, modelling, and machine learning. You will
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-31 23:59 Where to apply Website https://academicpositions.com/ad/lut-university/2026/doctoral-researcher-in-syn… Requirements Research FieldChemistryYears of Research Experience1 - 4 Research
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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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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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to your support, learning, training, and development. For further information, please contact Timo Kärri, Professor, +358 50 322 3320, timo.karri@lut.fi. Please submit your application by December 1, 2025
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period ends: 2025-12-07 23:59 Where to apply Website https://academicpositions.com/ad/lut-university/2025/doctoral-researcher-in-mec… Requirements Research FieldEngineeringYears of Research Experience1 - 4