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Applications: Condition Monitoring, Data-Driven Analytics, and Digital Twin Solutions Where to apply Website https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/… Requirements Research
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measurement techniques, this project aims to use the data-driven approach to perform battery state estimation on real-life use cases. The PhD position is part of the Nordic5Tech (N5T) battery initiative
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monitoring and measurement techniques, this project aims to use the data-driven approach to perform battery state estimation on real-life use cases. DTU Wind offers you the opportunity to pursue your dreams
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is
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), which are driven by real applications in life science research Develop solutions to integrate large foundation models into microscopy image analysis and analytical data analysis workflows, together
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to strengthen research objectives and to achieve the goals of the research project. Required Qualifications: PhD degree Operations Management, Data Analytics, Pharmacology, Industrial Engineering, or related
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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consisting of PAT and mechanistic / data driven modelling allowing process control. Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric) for AAV / LNP / VLP detection