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; Assess the effects of organo-mineral management on soil biological parameters, including soil fauna; Predict the dynamic of OM in the future global climate change by using Soil Organic Models. Mentor
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conducting lifetime modeling, developing advanced condition monitoring techniques, and applying data-driven analytics for lifetime prediction. You will play a central role in integrating experimental insights
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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/or high-temperature heat pumps based on power cycles. Design thermal and/or thermochemical energy storage systems. Implementing and validating advanced thermodynamic models for performance prediction
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real-time vector-borne disease risk assessment in low resource areas. The postdoctoral fellow will be directly responsible for the development of adaptive predictive models for nowcasting vector-borne
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real-time vector-borne disease risk assessment in low resource areas. The postdoctoral fellow will be directly responsible for the development of adaptive predictive models for nowcasting vector-borne
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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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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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. Applying Operations Research techniques to support the selection among predefined extraction methods. Developing and using Machine Learning models for quality prediction and control of phosphate ore
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from antigen presentation, prediction of immunogenic neoantigens, to T cell-mediated control of cutaneous squamous cell carcinoma and melanoma, utilizing immunological, cellular and molecular biological