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Field
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This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
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analytical chemistry, mass spectrometry, or trace gas measurements is an asset Enthusiasm for laboratory and field work Willingness to engage in programming and data analysis (preferably Python) Excellent
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(Intercommunale Leiedal in Flanders). This PhD project offers a unique opportunity to work in an international environment and to acquire valuable research experience. The PhD Project For too long, discussions
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) developing and validating preprocessing pipelines; (3) architecting and comparing spectral-only and multimodal (HSI + NIR + Raman + RGB) deep-learning models; (4) implementing robust sensor-fusion strategies
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machine learning journals and conferences Engaging with industry partners, government agencies, and academic experts Strong analytical, organizational, and communication skills Committed to mentoring and
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Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
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the North Sea area, including NGOs, the Dutch government, and the offshore wind industry. Your qualities You are a curious and driven researcher with strong analytical skills and a commitment to
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are particularly interested in new faculty with foci in Marketing Analytics and Digital Marketing. You must be present on campus for the role. Informal enquiries about this position can be made to Professor Stuart
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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
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capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale