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research activities in stormwater management. The research is both theoretical and experimental with elements of computational technology and mathematical modelling and is based on close collaboration with
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strongrecord of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering orrelated field at the start of
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academic degree (Master's) in computer science, mathematics, data science, computational linguistics, cognitive science or a related discipline Sound programming knowledge in Python and TypeScript/JavaScript
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://www.helsinki.fi/hilife/bi . Project Summary We are seeking a PhD student to join the project "Mutation clusters and origin of regulatory RNA genes" funded by the Jane and Aatos Erkko Foundation and led by Dr Heli
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The successful applicant must have a Ph.D. in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of the appointment. Type Benefited Staff Special
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof