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Analyses and Machine Learning (Python) Feature extraction from physiological data (signal processing) Development and validation of machine learning models Implementation of reproducible analysis pipelines
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Offer Description Scope of work The successful PhD candidates will be part of the group created by dr Jacek Herbrych (https://jacekherbrych.github.io ) within project NCN SONATA BIS 13 2023/50/E/ST3/00033
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transferability. Data pipelines for structured and unstructured data (images, text, social media, retail data) will be designed and validated on real-world case studies. Where to apply Website https
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the development of novel mathematical and computational approaches for advanced relational data analysis. Where to apply Website https://pica.cineca.it/unimc/20-br-071/ Requirements Research FieldTechnology
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39194 Job Number SE181224 Position Information Department or Unit Name Fowler School
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environment (Physics, Biology, Engineering). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7288-AUDBAR-077/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD
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mixed-methods research, and fostering team-level skills in data science, programming, and reproducible workflows. Experience with advanced analytic tools (e.g., R, Python, SAS, Stata) and translating data
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into giving trends. Ideally utilizes R or Python to implement internal models as well as manage external models Identify and qualify new prospects through routine screenings and employment of electronic
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conocimientos de programación en lenguaje C/C++ y Python para el desarrollo de componentes de software seguros. --- We are looking for motivated individuals willing to research the integration of quantum