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19 Sep 2026 Job Information Organisation/Company CNRS Department Propagation des Ondes : Etude Mathématique et Simulation Research Field Engineering Physics » Acoustics Engineering » Materials
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Responsibilities: Conduct project related research on geophysical/geomechanical investigation, geomodelling, data analytics, and machine learning. Responsible for processing and analyzing geophysical/geomechanical
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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models for multiple chronic diseases in real-world data and cohort studies. To successfully work in this position, experience of data-driven analytical approaches, machine learning and advanced
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/) at the Medical Faculty, University of Helsinki, is seeking a bioinformatician or a computer scientist with strong analytical skills and experience on omics data, and basic understanding of biology to study therapy
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, the fellow will lead the development and execution of advanced functional and distributional data analysis techniques. This role requires independent analytical acumen to design simulation studies, process
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experience in applying research methodologies, models, and techniques relevant to the role. High analytical capability to interpret complex data, conduct experiments, and evaluate research texts critically
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molecular compounds as potential drugs for the treatment of infectious diseases. Additional work duties include design of new molecules, data analysis, analytical characterization, purification, maintaining
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analytical techniques (HPLC, LC-MS, and GC), as well as computational tools. An integral part of the work will be the integration of biological data with medicinal chemistry principles to identify the most
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, including analysis of genomic/metagenomic/transcriptomic data, would be an advantage. Experience with R, Python, Linux/Unix, sequence-analysis tools, or biological databases is an advantage. Good analytical