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utilized for fundamental studies probing quantum mechanics in massive systems, as well as for applications in quantum information processing. The measurements are carried out at deep cryogenic temperatures
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. The position will be filled as soon as possible, or as agreed with the selected candidate. Selection process and employee benefits University of Helsinki welcomes applicants of any gender, linguistic and
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researchers (for further information, please see: https://blogs.helsinki.fi/viikki-postdoc/ ). Application and selection procedure To apply, please send the following documents in a single pdf file: * A letter
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processes contributing to cancer. The candidate We seek a motivated candidate with a strong interest in computational cancer research, who is enthusiastic about applying deep learning methods to cancer data
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regulatory processes contributing to cancer. The candidate We seek a highly motivated candidate with a track record of statistical models, network science, and/or computational tool development dedicated
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research on emotion AI, learning processes and perception engineering for AI-based solutions e.g. in education and nursing. HI research combines the strengths of both humans and machines, emphasizing mutual
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offered a fully funded contract of up to 3 years. About the position The postdoctoral research position will require developing and applying cutting-edge machine learning methods to computer vision and
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committed to complying with the CoARA principles. Our application process is transparent, professional and international. We communicate openly with the applicants throughout the recruitment process. All
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from buildings, mobile network data) Database management skills (e.g., PostgreSQL) Statistical expertise related to big data processing and high-performance computing (Python, R) GIS software proficiency
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. The postdoctoral researcher’s specific teaching and research orientation will be discussed and agreed with the candidate during the recruitment process. Requirements: experience of research and teaching in the field