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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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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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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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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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“Targeting metabolic adaptation to combat difficult-to-treat urinary tract infections caused by E. coli biofilms” led by prof. Päivi Tammela, at the Division of Pharmaceutical Biosciences. The aim
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a probationary period. The appointment is in the Research Council of Finland research project “Targeting metabolic adaptation to combat difficult-to-treat urinary tract infections caused by E. coli
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somatic mutations. These efforts aim to enable pan-cancer subtyping and uncover regulatory processes contributing to cancer and cancer outcome. Qualifications The position is open to applicants with a PhD