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hydrogen and sustainable fuel production through advanced simulation models and sector-coupling applications. Your main objective will be to develop a coupled dynamic model of an alkaline water electrolyzer
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-Learn data generated by NOAH partners; develop a generative ARCA component, exploring autoencoder- and/or diffusion-based approaches for generating ecologically plausible microbiome configurations; apply
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data generated by NOAH partners; • develop a generative ARCA component, exploring autoencoder- and/or diffusion-based approaches for generating ecologically plausible microbiome configurations; • apply
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ice, using a framework consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ
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consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ and remote sensing data from
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-regulatory elements and transcription factor genes that control key physiological pathways to specifically adjust targeted gene expression to reshape complex traits. The project will develop a breakthrough
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) for quantum communication and quantum networking. A central element of the project is the integration of high-brightness III–V photonic-crystal single-photon sources developed by our French partners with low
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programming skills in Python, MATLAB, C++, or similar scientific computing environments, including high-performance and GPU computing. A strong scientific track record, evidenced by high-quality publications
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/humanities . Diversity Fostering an inclusive community is a central element of the values and vision of Leiden University. Leiden University is committed to becoming an inclusive community which enables all
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staff. Experience with finite element libraries and numerical methods would further strengthen the application. Additional Information Benefits You will be appointed for a period of maximum 16 months full