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of infection using metagenomics, advanced statistical models, and analytical biochemistry. One position to work on an NIH-funded project is available. The project is focused on determining the impact of
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areas: Developing and training robust machine learning surrogates to replace computationally expensive high-fidelity simulations, enabling exploration of vast design spaces. Formulating optimization
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Amsterdam Rotterdam); teach seminars and/or practical for bachelor and master students; supervise bachelor and master student projects; present data at local, national and international scientific meetings
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care about creating a positive, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also
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The doctoral student will be employed at Mid Sweden University as part of the Swedish research school for excellence in Arctic and Antarctic Learning (SEAL) , which offers an internationally competitive
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: This 4 year fully funded studentship is open to applicants with a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Machine Learning, Physics, Data Analytics or other
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to the development of non-destructive methods to monitor natural degradation, using advanced analytical and statistical approaches. • Develop, implement, and refine models that integrate micro-environmental
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will be curious, analytical, and motivated to tackle real-world problems at the intersection of energy, health, and climate resilience. The research will make a significant societal and environmental
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studies; Apply for competitive external funding (e.g., RGC grants) to support a sustainable research agenda; Teach assigned undergraduate or postgraduate courses each semester on communication theory
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engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in programming, e.g