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the corporate expansion of AI usage through enterprise software. How do these interests ensure their market share, control the regulatory environment, and show accountability for their environmental impact? How
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production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical modelling and prediction tools. Fouling
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environmental and economic trade-offs are present in the corporate expansion of AI usage through enterprise software. How do these interests ensure their market share, control the regulatory environment, and show
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industrial domains. The scientific outcomes are expected to be significant in: Earth system science – by improving models of Earth surface evolution and enabling better predictions of landscape response
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project RECLESS (Recycling versus loss in the marine nitrogen cycle: controls, feedbacks, and the impact of expanding low oxygen regions). RECLESS aims to predict how ongoing ocean deoxygenation impacts
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, and to develop predictive models that can guide the rational design of next-generation BioAg products tailored for diverse agricultural systems around the world. Responsibilities The postdoc position
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Job Description RISC-V open source and open standards as the nucleus for new platform models help to improve overall flexibility and productivity for a wide market access. Given the challenge
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. This will enable the first prediction model for T cell immunogenicity of HLA class II antigen presented peptides in the context of protein drugs. If you're looking to launch your scientific career