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postdocs. Learn more at: https://www.muoniverse.ch/ Who we are looking for Muoniverse positions often serve as bridges between individual research groups and institutions, supported through dedicated
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tasks include: Development and optimization of interfaces and APIs for the integration of heterogeneous energy system data Implementation and maintenance of automated data processing and transformation
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(including literature searches and data searches using various sources) Optimize, test, and debug model code Clearly document model development, structure, logic, coding, testing Engage in research
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optimizing complex systems across a wide range of domains, from industrial manufacturing and energy to environmental monitoring and healthcare. Interacting with a Digital Twin (DT) of a structure—such as a
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pipelines, and solutions that integrate structured and unstructured data. Assist team in in business process automation, and generate content to improve operational efficiency. Assist team to implement and
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, optimization, and improved employee experience. Manages relationships with benefit consultants, carriers, and third-party administrators to ensure service quality, compliance, and alignment with University goals
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organizational objectives. This role provides guidance to junior analysts and contributes to process improvements and system optimization. The analyst serves as a key resource for IT and business teams, supporting
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staff position within a Research Infrastructure? No Offer Description This research project aims to develop a synthetic dataset generation technique to optimize the training of neural networks (NNs
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, deformation mechanisms and mechanical performance, ultimately enabling more efficient design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 2 days ago
). Contributing significantly to scientific output (first-author publications, structuring scientific questions). Participating in the co-design of multi-scale experiments (from local to global) within