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Field
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turbine control is cumbersome yet fundamental to achieve the renewable energy transition and Europe’s climate neutrality goals under the European Green Deal and the Paris Agreement. The Postdoctoral Fellow
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. This includes exploring the use of digital twins for bioreactors and deploying AI driven predictive models to improve optimisation, consistency and overall yield. The main focus for this role is to work with the
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learning models applied to material modeling. Proficiency in programming languages, such as Python, MATLAB, Julia, and C++, and molecular dynamics programs, such as LAMMPS, to predict mechanical/electrical
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other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
machine-learning methods to investigate the deep-time controls on copper mineralisation. The role will involve developing reproducible computational workflows, generating predictive maps of copper
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 21 days ago
validation of human-based in vitro and computational methods submitted to FDA for regulatory use. The developed models will be used to predict various toxicity endpoints and drug exposure to help provide
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main goal, based on detailed studies of Earth and our solar system, is to develop predictive models to identify habitable planets around other stars. PHAB research activities comprise three interrelated
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dramatic, we build towards a unified predictive model spanning the full cool star parameter space. Our goal is to couple these stellar environment models to time-dependent radiative-convective and
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on advancing Predictive, Preventive, Personalized, and Participatory (P4) approaches in health and medicine. Within the IRAP framework, the project’s scientific goal is to discover and validate novel therapeutic
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Santos do Carmo Madeira IV - Work Plan / Goals to be achieved: Federated learning (FL) has emerged as a promising method to address reliability and safety problem by enabling decentralized model training