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Field
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position We are seeking a motivated doctoral student to work on biomethane system scenario design and assessment. The research studies include modelling and simulation from feedstock supply and thermal
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PhD in Optical Characterization and Photonic Performance Analysis of Liquid Crystal Polymer Coatings
under external stimuli. This PhD project will focus on the advanced optical characterization, modelling-supported interpretation, and performance benchmarking of these coatings. You will quantify how
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candidate will also bring experience in 3D printer customization, software/hardware integration, and CAD modeling skills. Responsibilities Minimum Qualifications Preferences Type Benefited Staff Special
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of multipoint in situ measurements and numerical simulations performed with the ion-kinetic Vlasiator code to quantify how interplanetary shocks modify solar wind current sheets across a range of
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high-frequency power conversion technologies through analytical modelling, multi-domain optimization, hardware development, and experimental validation. The research will explore the interaction between
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, such as model evaluation and data pipelines, and their applied forms, including training, fine-tuning, and deployment of models using frameworks such as PyTorch or TensorFlow. Solid proficiency in Python
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elucidate genetic and evolutionary relationships among species and the mechanisms shaping diversity and adaptation across the genus Lupinus. The findings will contribute to a global model of flowering and
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the energy and physical resource consumption of AI models continues to scale, there is an increasing need for new computational paradigms that draw on the efficiency and parallelism of biological
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, with particular focus on modelling and simulation. Some example projects include: "The impact of stellar rotation on the nucleosynthesis in the first generation of stars" "Stripping of planets by
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or noisy observations. Addressing these uncertainties typically relies on ensemble-based simulations using computationally expensive high-fidelity models. This PhD project addresses this challenge by