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out their research under the supervision of the Faculty’s staff. More information: https://www.mimuw.edu.pl/en/studies/ Other information Samuel Eilenberg (1913–1998) earned his PhD in mathematics from
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order to be successful, you bring: MSC in Computer Science, Physics, Engineering, mathematics or related disciplines with a strong background in data analysis, mathematical modeling and algorithms Good
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Artificial Intelligence (AI) related fields
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to create analysis‑ready, topology‑correct 3D city models from multi‑modal geospatial data. The position is hosted at the Department of Mathematical Sciences at Chalmers University of Technology and the
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computational models Demonstrated experience designing a new product with simulation Strong mathematical background in PDEs Expertise in adaptive meshing methods Salary and Benefits Compensation for this role is
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 20 hours ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The climate system can be considered in terms of the net imbalance between absorbed shortwave radiation
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Network. https://www.eu4greenfielddata.eu/ ***Double Degree PhD Scholarship in Computer Science Opportunity: "Optimization-simulation coupling for the GHG emission estimation based supervision and
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performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum
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for a highly motivated PhD candidate to join our world-leading research program in Earth System modelling and improving Earth System Modeling by better merging of measurement data and model simulations