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Field
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mission data, including AI, analytics and digital twins; new ways to define and model systems, such as model-based system engineering; supervision of on-board autonomy featuring AI, in relation
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to the effective computation of the data and numerical simulation. Where to apply Website https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhancing-mathe… Requirements Research
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at least one article in a peer-reviewed journal You will contribute to the acquisition of data on prayer books in Middle Dutch in the PRAYER database (the database has been set up in Heurist; https
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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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to heat treatments would be of particular interest. Experience with bioprocesses Experience with relevant analytical methods. Experience with data analysis. Industrial experience or experience of conducting
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or a related quantitative field. Candidates with PhD in biomedical science with genomics data analysis training and experience are also encouraged to apply. Job Description: This position is based within
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spectrometry data (https://www.nature.com/articles/s42256-021-00407-x, https://www.biorxiv.org/content/10.1101/2024.11.13.623458v1.abstract, https://www.nature.com/articles/s42256-024-00821-x, https
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methods, leveraging digital twins, data analytics, and reliability engineering. In parallel, the role includes project oversight responsibilities, supporting effective coordination of consortium activities
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. The research explores how AI, IoT, digital twins and data analytics can be integrated into early stages of product and production development to enable resilient, circular and long-term competitive solutions
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Experience in mathematical modelling, statistical inference, simulation studies, and data analysis Expert knowledge in relevant programming languages (e.g. R, Python, Julia, C++) Analytical and structured way