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species annotations, climate, and topography, into deep learning algorithms. Test deep learning models (Transformers and CNNs) for optimal accuracy using large datasets that include over 110,000 tree
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, you will design, prototype, and optimize advanced simulation algorithms—particularly in the domain of cloth and deformable materials and contribute to our next generation of rendering and learning-based
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, investigations and optimization of hydrogen production via methane pyrolysis for decarbonization of industrial high-temperature processes with potential for negative carbon emissions. Your tasks Setup
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team of researchers with expertise in thermodynamics, process design, energy system optimization, and life cycle assessment, working collaboratively with research and industry partners. You will work in
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(LLE), and diffusion coefficients—key data for designing and optimizing chemical processes. Because conventional experiments are often time- and resource-intensive, particularly for multicomponent
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, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Medical Robotics, Natural Language Processing, Neuroinformatics, Optimization, Perceptual Inference, Probabilistic
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interdisciplinary team of researchers with expertise in thermodynamics, process design, energy system optimization, and life cycle assessment, working collaboratively with research and industry partners. You will
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integrating various datasets, such as tree species annotations, climate, and topography, into deep learning algorithms. Test deep learning models (Transformers and CNNs) for optimal accuracy using large
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and drug testing You will have a dual role in setting up and culturing the 3D skin models and optimizing sensor technology (e.g. TEER and TEWL) to enable a robust assessment of skin barrier
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. Ensuring a safe and efficient laboratory environment, primarily at BSL-1 with potential work at BSL-2, by following safety regulations, collaborating with team members, and optimizing workflows.