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Field
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predictive control, optimization-based decision frameworks, and data-driven performance modelling. The overall goal is to develop computational methods that enable efficient and intelligent operation of wind
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, for the project “PREDICT-OAE project (From data to PREDICTion: modelling temporal ecological–biogeochemical links under Ocean Alkalinity Enhancement”, financed by internal funds from CIÊNCIAS and FCiências.ID
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, and generate high-quality datasets for predictive microbial modelling and risk assessment. Responsibilities include contributing to the design and execution of food challenge studies, integrating
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at the intersection of mathematics, computation, and cancer biology. We develop mechanistic, predictive models of cellular decision-making to address fundamental and translational challenges in cancer, including drug
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with the possibility of a 4th year with career-promoting work (e.g. teaching at the Department). About the project/work tasks: Our ability to predict climate hinges on solid understanding and modelling
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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | 11 days ago
for regulatory decision-making. Establishment of novel in vitro models for comprehensive safety and efficacy assessment. These models will serve as tools for evaluating product quality attributes, predicting
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this role, you will contribute to TOZCA’s whole‑aircraft noise prediction capability, ensuring acoustics are robustly represented within the project’s wider modelling framework. You will develop, apply and
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this role, you will contribute to TOZCA’s whole‑aircraft noise prediction capability, ensuring acoustics are robustly represented within the project’s wider modelling framework. You will develop, apply and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 11 days ago
predictive models to infer from Standard for Exchange of Nonclinical Data (SEND) data which target organs will likely be identified by reviewers. After the models have been trained and prospectively validated
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predictive control, optimization-based decision frameworks, and data-driven performance modelling. The overall goal is to develop computational methods that enable efficient and intelligent operation of wind