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innovation programme under the Marie Skłodowska-Curie Action (MSCA). The position is for 24 months and is funded by Horizon Europe; the remaining years until completion of the PhD work would need to be applied
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technology, and machine learning methods. Professor Simo Saarakkala will be the primary supervisor for developing targeted machine learning-based data analysis methods for novel biosensing methods, but
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of Quantum Computing to join us in the Biomimetics and Intelligent Systems Research Unit and Oulu University Secure Programming Group (OUSPG) and M3S Empirical Software Engineering Research Unit at the Faculty
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creative Data Scientist with a very solid foundation in mathematical sciences and statistics to develop longitudinal methods for causal inference in life-course epidemiology. As a postdoctoral researcher you
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at Associate or Assistant Professor levels, plus at least 5 post-doctoral researchers or PhD students). The programme will engage research and impact activities in relation to ecosystem restoration, especially
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-realities theme (HI-3) including but not limited to: Virtual, mixed, and augmented reality technologies; Artificial intelligence (AI) methods for extending human perception; Spatial AI technologies
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-enhanced learning, and clinical education methodologies. Strong skills in research methods (qualitative and/or quantitative). Excellent English communication and collaboration skills. Ability to work
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tackle challenging problems to achieve common goals. Doctoral degree in a relevant field. Documented experience in experimental research is required; previous experience in relevant methods of molecular