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assays relevant to homeostasis and metabolism. Expertise in fluorescence-based microscopy and image analysis is highly desirable. A collegial and adaptive team player with a high degree of professional
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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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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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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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position, please contact Marcus Wallenberg Chaired Professor Rebecca Piekkari (rebecca.piekkari@aalto.fi ) or in questions relating to the recruitment process, HR Partner Jenna Knuutinen, jenna.knuutinen
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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