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3rd May 2026 Languages English English English Would you like to explore AI methods for forest mapping? Two PhD scholarships: Remote sensing and AI for improved forest mapping and precision forestry
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challenges. The final research focus can be adapted to your background and interests, and may be related to some of the following topics: Generative methods for design documentation, including automated
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systems. By combining microclimate modelling, remote sensing data, and data-driven methods, the results are integrated into a Digital Twin framework. The research will support predictive risk assessment and
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focus can be adapted to your background and interests, and may be related to some of the following topics: Generative methods for design documentation, including automated creation of tender documents
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carcinoma as a use case. The successful applicant will develop Bayesian statistical and machine learning methods for treatment response prediction using clinical information, molecular characterizations
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analysis. Strong interest in data analysis and statistical methods will be emphasized. Interest in the research topics of environmental enrichment, physical activity and gut-brain axis Personal qualities
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a recruitment position with a duration of 3 years. The project aims to further develop and optimize methods within assisted reproductive technologies (ART) in pigs, including Ovum Pick-Up (OPU), in
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for the PhD work will be response estimation based on remote distributed sensing of the wave field in an offshore wind park, in combination with metocean forecasting data. Improved sea-state and wave prediction
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carcinoma as a use case. The successful applicant will develop Bayesian statistical and machine learning methods for treatment response prediction using clinical information, molecular characterizations
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aimed at developing novel Artificial Intelligence–based methods and software to assist physicians with: Disease classification Treatment decision support What-if analyses. Although the developed methods