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protection products based on double-stranded RNA and peptides) funded by the Novo Nordisk Foundation. The project aims to develop tools and methods to support evidence-based risk assessment frameworks for bio
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data, which often only provides snapshots in time, neglect coastal waters, and overlook certain species. You will work on integrating diverse data sources to overcome these limitations and develop a more
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conversion reactions. The second position is focused on modelling stability of electrocatalyst materials. The aim is to develop a framework to predict metastability of catalyst materials. Among the methods
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. CLASSIQUE is organized into four research thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics
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the underlying mechanisms to develop robust solutions for practical applications, funded from national and international sources. We are a part of the Crop Science section and work closely together
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administrative, educational, and legal domains. The successful candidate will become part of the Centre for Machine Learning . The centre is part of the Data Science & Statistics section at the Department
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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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) models for empirical statistical analysis, as well as potential experimental designs to validate findings. Empirical setting The research will utilize data from the Danish Innovation Fund, integrated with
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understanding of the process, statistics and data analytics shall be applied to link the different conditions to the likelihood of microcracks occurring. The severity of microcracks may also be studied in
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) develop and optimize extraction techniques using enzymes in combination with non-thermal technologies such as ultrasound, ohmic heating, and pulsed electric fields, (iii) evaluate the techno-functional