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Field
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the reparameterization trick. Still, while methodological tools (first principles) exist, their application to solve real world problems still need to be demonstrated. This is what we intend to achieve in this project
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science base of biodiversity and health, which is reflected in our leading principle Harnessing Biodiversity for Health. We perform innovative curiosity-driven research to answer fundamental questions, and
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deposition (ALD). The project involves performing quantum mechanical calculations (e.g., first principles density functional theory (DFT)) to identify the structures and to understand the complex mechanisms
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analysis and manuscript preparation, with opportunities to publish as first author as well as collaborate on papers with faculty and students. This role provides an excellent opportunity to develop expertise
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design principles and solutions from the immersive workbench to enhance web-based annotation platforms, offering scalable solutions. You will work with Dr. Nandika Tsendbazar and Dr. Jiayan Zhao
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world headquarters of AstraZeneca. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health. The Unit is
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of electronic structure and computational materials discovery. In this role you will be performing first principles-based simulations for the description of chemical and structural dynamics in the context
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manipulation, adaptive laboratory evolution, and metabolic engineering principles. We are seeking candidates with experience in microbial cultivation, molecular biology techniques, metabolic engineering, and an
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models from first principles, initial model evaluation, parameter estimation, sensitivity analysis, and model validation. The fellow will be responsible for clearly documenting all aspects of the model as
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models from first principles, initial model evaluation, parameter estimation, sensitivity analysis, and model validation. The fellow will be responsible for clearly documenting all aspects of the model as