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Field
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
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insights into the robustness and resilience of land use decisions in an uncertain future. Relevant landscape models will be applied in selected case study countries to explore greenhouse gas flux and
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2025 Apply now In the face of ongoing climate change and sea level rise, the Dutch delta must adapt to ensure a safe and livable environment. In the past decades, the southwestern part of the delta has
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supply system for providing electricity (and heat/cooling) for the DAC plant Detailed model for DAC operation with respect to fluctuating energy supply and climatic conditions Model for assessing
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, utilisation of natural resources, shipping, predictive modelling, or climate risk Core courses in probability and statistical inference, optimisation, microeconomics, scientific methods Elective courses in
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qualification is required at time of hire. Required Qualifications Completed Ph.D. in Ecosystem or Landscape Ecology (or related field such as ecosystem modeling, biogeochemistry, or climate change ecology
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Application deadline: All year round Research theme: Multi-scale modelling How to apply:uom.link/pgr-apply-2425 No. of positions: 1 This 3.5 year PhD project is fully funded for home students
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heating strategies to reduce their energy consumption while keeping a comfortable indoor climate. About Research fellowship The Doctoral Research Fellowship is a full time (100%) fixed term position for 3
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-situ measurement network and perform terrestrial laser scanning, analyzing microclimate data and their relation to forest structure, and using optical satellite time series and radiative transfer models
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and increased our impact on workforce preparedness for climate change and resilience. The curriculum emphasizes understanding landscapes across multiple scales and contexts to support innovative design