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drilling optimization, as described in the project outline. Develop and apply numerical, analytical, and data‑driven models for drillability prediction, real‑time parameter optimization, and integration
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skills in relevant analytical methods Experience in (meta)proteomics Experience in bacterial cultivation Bioinformatic skills to handle large scale omics data Proficiency in at least one programming
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, employing multivariate analysis (MVA) and advanced data-driven approaches, including artificial intelligence (AI) methods. The material mapping results will be validated using complementary analytical
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artificial intelligence (AI) methods. The material mapping results will be validated using complementary analytical techniques applied to the same artworks. In addition, style characterization of the paintings
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drilling, drilling technology, thermomechanical processes, and AI‑driven drilling optimization, as described in the project outline. Develop and apply numerical, analytical, and data‑driven models
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analytical chemistry methods, in particular spectrophotometry and chromatography Documented experience with data analysis Documented experience in analyzing and interpreting omics data, such as genomics
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independently and take initiative Have strong analytical and problem-solving skills Have good collaboration and communication skills Motivated to contribute to high-quality scientific publications Willingness
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about the subject, work discipline, professional ethics, and ambition Strong practical and analytical skills Good social and collaboration skills High drive for science The candidate is expected