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with a background in Language Technology, Machine Learning, or Language Typology who are interested in automatic classification and analysis of hundreds of languages to undertake a PhD project exploring
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error correction (advantage) Background in software development (advantage) Optimization techniques and machine learning (advantage) Ability to conduct independent research Excellent written and oral
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-engineering-and-automation/nonlinear-systems-and-control ) at Aalto University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees
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Master’s degree in statistics, data science, machine learning, mathematical modeling, or similar area. Previous experience in working with Bayesian models and their computation and experience in ecological
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excellence through standard and customized omics data analysis, as well as to implement innovative machine learning, data integrative and multimodal solutions. The Center is located in the School of Medicine
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GNSS, wireless navigation and machine learning is desirable Additional skills that are highly appreciated in this position are the willingness to work hard and to learn more about the fascinating
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analysis toolbox (e.g. ImageJ-FIJI, or other deep learning-based image analysis toolkits) is a strong plus Basic bio-informatics knowledge (office suite, statistical analysis) Soft skills Ability
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Strong motivation to learn new methods and work independently, and as part of the team. Prior experience in one or several of the following: protein biochemistry, cell culture techniques, fluorescence
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motivation to learn and adapt new skillsets, and readiness to work with diverse teams. Position details The doctoral researcher (PhD student) will be initially appointed for 2.5 years, on a fixed term
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skills in English (oral and written) are essential, as are enthusiasm for the topic, strong motivation to learn and adapt new skillsets, and readiness to work with diverse teams. Position details