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Field
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qualitative and/or quantitative data from a variety of sources, and contribute original ideas for new research projects. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics
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ICFO is offering a postdoctoral position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment. The successful candidate will be joining the Optoelectronics group led by Prof. Dr. Valerio...
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Gubinelli at the Mathematical Institute, University of Oxford. This is a three-year, fixed-term position, funded by a research grant from the EPSRC. We particularly welcome applications from individuals who
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Engineering, Applied Mathematics, or a related field. Candidates should have expertise in several of the following areas: Scientific software development (C++, Julia, Rust, Python, or similar) Numerical methods
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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Position Description This position is for two years. A Ph.D. in mathematics, statistics or a closely-related field is required. Applicants need to first contact and get consent from a postdoc mentor
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/Qualifications We are looking for a researcher with a PhD in physics, astronomy, applied mathematics or a closely related discipline, completed before the starting date. Essential qualifications: The candidate
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) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) Physics (16 ) Science & Engineering-related (2 ) Social and Behavioral Sciences (29
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 9 days ago
degree in a relevant STEM field, including Meteorology, Physics, Mathematics, or Computer Science. -Advanced programming skills with experience handling and analyzing big data (e.g., Python). -Previous
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supervised by Professor Timothy Verstynen (Carnegie Mellon University, Department of Psychology) and Professor Jonathan Rubin (University of Pittsburgh, Department of Mathematics), providing a unique