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machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their applications in industrial furnaces
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, GC-MS/MS, and advanced NMR approaches. - **Activity 4:** Multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and reveal the interactions linking
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, curious and ambitious team of researchers. Aalto offers a vast array of professional development opportunities to grow and learn based on your interests and needs. We offer a fixed term contract initially
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. Furthermore, you will collaborate closely with local and international colleagues working in both experimental and theoretical fields to enable you to learn and execute world-leading research. Job requirements
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, longitudinal modelling, machine learning and multivariate approaches. Proficiency in programming (e.g., MATLAB, Python, or R), handling large datasets, and working with complex analysis 2 pipelines is an
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experiments and policy-capturing methods may be used to compare interviewer judgements with evidence-based outcome measures. The project will also explore machine-learning, multimodal data analysis, computer
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to work in an interdisciplinary team and interested in collaborating with industrial partners. You are a naturally curious person who is eager to learn more and has a strong interest in research. Excellent
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project. Aalborg University applies a problem-based learning (PBL) approach. Documented experience with PBL (such as project supervision, facilitation of group processes, and development of PBL-based
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, machine learning, explainable artificial intelligence (XAI), digital twins, and integrated data-model approaches. • Study of the frugality of the developed approaches by reducing the requirements
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high-density 3D Multi-Electrode Arrays (3D-MEAs) — done in close collaboration with experts, providing full support as you learn to analyze this data. o Multi-Omic Profiling: Performing and analyzing