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implement a hyperspectral imaging system tailored to bulk forensic trace analysis and develop chemometric and machine-learning models for material identification and classification. You will evaluate
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electrical engineering, control engineering, applied mathematics, computer science, or a related field A strong background in probability and statistics, machine learning, or control theory Interest in cyber
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One Health surveillance. Another key focus will be teaching at BSc, MSc and PhD level in microbial genomics, bioinformatics and machine learning, complemented by national and international training
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machines Conduct simulations and experimental testing to validate system performance Document and disseminate research results through scientific publications and presentations The PhD candidate will work
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, and machine-learned force fields to describe ion transport and interfacial evolution. These models will be extended to mesoscopic and continuum scales (kinetic Monte Carlo, phase-field) to capture
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environments including a stay at another research team. Obtain experience with teaching or other types of dissemination related to your PhD project. Teach and disseminate your knowledge. Prepare and submit a PhD