21 Statistics "FAPESP São Paulo Research Foundation" scholarships at Technical University of Denmark
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methods and techniques to study and characterize sound and vibration on the millimetre and sub-millimetre scale as well as statistical methods to evaluate metrological aspects such as reproducibility
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unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct
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theory and practice. Experience in laboratory work and field work. Analytical skills and experience in statistical analysis. Strong written and oral communication skills in English. Ability to work
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this project you will learn and develop experimental and statistical methods for small hearables and their millimetre and sub-millimetre scale components. Page PhD scholarship in Machine Learning in IoT Edge
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econometric and data management (with statistical software like Stata, SAS, Python, or other relevant software). Ability to translate observed behavioral barriers into testable behavioral solutions. Interest
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, Biostatistics or in a related quantitative field (e.g. Mathematics, Physics, Statistics), with documented experience in analysing, interpreting bulk and single-cell sequencing datasets. Prior experience with data
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and using mathematical and statistical models on marine resources. The scholarship is part of a project financed by the EHFAF program. The project will be carried out at DTU Aqua in collaboration
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unique and internationally recognized academic department with 433 employees and 10 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct
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vibration in miniature audio systems? In this project you will learn and develop experimental and statistical methods for small hearables and their millimetre and sub-millimetre scale components. PhD
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/bioengineering (or a similar degree with an academic level equivalent to a two-year master's degree) and have demonstrated experience in the following areas: Numerical methods Statistics Computational biology