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sciences, preferably in sociology, demography, economics, cognitive sciences, psychology, or a related field (or evidence that the Master degree will be completed within the 2025-26 academic year) ● Strong
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numerical modeling (ocean, sea ice, atmosphere) or in physical model emulation; Knowledge of data assimilation methods (4DVar, EnKF, En4DVar) and their practical implementation; Research experience in machine
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. Advanced Functional Materials 31, 2006824. https://doi.org/10.1002/adfm.202006824 Profile and skills expected: - Master 2 (or equivalent) with knowledge of wave physics, instrumentation and a taste for
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must hold a Masters’ degree in fluid mechanics, physics or applied mathematics and have a good knowledge in fluid dynamics, with an interest in experiments and turbulence. Application process: Applicants
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scientific knowledge and practical applications. Application: Your application should be sent to the contact below before May 12, 2026, including • a CV • a letter of intent • grades and ranking of your
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Language Processing, can be used to extract linguistic knowledge, particularly concerning tones. The main object of investigation will be the Yongning Na language (ISO code: NRU). This work, based on fine-tuning models
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Your
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Required Knowledge: Cell culture (iPSC/organoids knowledge is appreciated) General knowledge in genetics and molecular biology Neurodevelopment background Operational Skills: Strong cell culture experiences
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analysis via Python or Matlab is required. Knowledge about computational chemistry, and High-Performance Computing on datacenter would be a plus. Also, the candidate must be able to work at the interface
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activities - To keep up to date with scientific and professional issues, in particular developments in the specific subject area Requirements Education Level: - master's degree or equivalent Required Knowledge