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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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aging process (DNA methylation aging, entropy, multimorbidity) You will also be part of the multidisciplinary research group in Life-course Epidemiology with max 10% teaching duties to Master level
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to learn and a true drive to progress in your career are your greatest assets to succeed in the recruitment process. Qualification requirements The qualification requirements of the position are stated in
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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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applying tools from computer simulations and machine learning. The position is fixed-term and the starting time is 01.06.2025, or as soon as possible thereafter, based on mutual agreement. The contract
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. Pia Fricker at pia.fricker@aalto.fi . For questions related to the application process, please contact HR Partner Enni Ailoranta at enni.ailoranta@aalto.fi . We will go through applications and may
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candidate to have previous experience and knowledge in research methods related to processing of large data sets. Experience in e-learning environments and/or research/development experience in data analytics
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innovative optimization methods that consider multisectoral, system-level utilization of marine waterways, ensuring that human perspectives are incorporated throughout the process. By integrating stakeholder
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to interview already during the application period. We aim to have a transparent and equal recruitment process, so feel free to ask us for feedback. Want to know more about us and your future colleagues? You can
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expected for the position will be invited to an on-site or remote interview. All applicants will be notified during the selection process. We welcome applicants from all backgrounds, such as people