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Field
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broad European and international network through its collaboration schemes and open-science activities. Through its research, the ACT provides ESA with early scientific insight on emerging trends and acts
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Qualifications Experience with graph neural networks, machine-learning interatomic potentials, or related scientific machine-learning methods for atomistic systems. Familiarity with uncertainty quantification
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, policy and practitioner networks relevant to the component. Contribute to the wider intellectual life of Panmure House through seminars and public events. Geoeconomic Policy Discourse and Justification
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and stronger professional network, and gain experience in mentorship and academic service. Position Number: RC1460 Anticipated Salary: $63,480 - $90,000 (based on qualifications and experience
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of Twente and Saarland University, funded under the DFG-NWO WEAVE programme. As a postdoctoral researcher, you will lead the human-computer interaction side of the project. You will investigate how everyday
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human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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transitions of information flow networks, near critical events. The successful candidate will: Develop and apply Transfer Entropy estimators to high-frequency financial time series. Characterise the temporal
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mixtures, including information retrieval, random access, approximate search, querying and filtering, encryption, compression, and many other information-processing tasks. Our team is looking for a talented
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, or be nearing completion of, a PhD in Computer Science or a cognate field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical
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, extended downtime and significant unplanned cost. Existing published estimates of the Levelised Cost of Energy (LCOE) for Irish waters do not account for this. FLOW-COST will produce the first open-access