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regulations for emission withing maritime transport. Description of the PhD project The title of the PhD project is: Smart Seas: Enabling Data-Driven Sustainable Maritime Operations . Environmental
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Übersicht PhD Student in Macroeconomic Forecasting and Data Science 100%, Zurich, fixed-term Drucken We are looking for a PhD Student in Macroeconomic Forecasting and Data Science. The position is
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Faculty Position in Data Science and Society, Open Rank Georgetown University: Main Campus: Walsh School of Foreign Service: Georgetown University in Qatar Location Qatar Open Date Aug 30, 2026
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Professorship in Distributed Data and Knowledge Engineering (open rank) The University of Basel invites applications for a Professorship in Distributed Data and Knowledge Engineering to join the
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Helmholtz Association of German Research Centres | Kiel, Schleswig-Holstein | Germany | about 1 month ago
systematic approach to marine data science. For more information, visit: https://www.mardata.de/. Projection and Job Description This project aims at the key technology for the identification of
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Übersicht Doctoral Student in Operational Decision Making with Data Science 100%, Zurich, fixed-term Drucken The Decision Sciences and Analytics group, led by Prof. Tu Ni at ETH Zürich is seeking a
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1365. Data protection Application deadline: 09/15/2026 Reference no.: 6005 Tenure Track Professorships https://tt.careers.univie.ac.at/datenabfrage/TT0726MATH01 Share this job Facebook Twitter
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Faculty of Mathematics at the University of Vienna invites applications for a Tenure-Track Professorship in Data Driven Partial Differential Equations The position We are looking for outstanding
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Australian National University | Canberra, Australian Capital Territory | Australia | about 3 hours ago
- MSc (or equivalent) thesis- Two referees' contact details How to applySubmit the documents listed above to [email protected] or via MathJobs.
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help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning