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(RCE) and Research Institutes and Centres (RICs) within the cluster, including maintaining robust financial controls over budget utilisation, revenue collection, and financial reporting. Drive the annual
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into new and improved ways of understanding and treating mental ill health (http://www.kcl.ac.uk/ioppn/ ). The research role is based in the Psychology Department, one of the world’s largest academic
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Responsibilities: Financial Management and Oversight Oversee the day-to-day financial operations of the Research Institutes and Centres (RICs), including maintaining robust financial controls over budget utilisation
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capital budgets. Through strong governance, robust financial processes, and cutting-edge systems, we ensure every dollar is put to its best use, fueling research, education, and transformation. Why Join Us
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operating, strategic, and capital budgets. Through strong governance, robust financial processes, and cutting-edge systems, we ensure every dollar is put to its best use, fueling research, education, and
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, the environment and ecology, transportation, robotics, energy, culture, and artificial intelligence. Overview of the CNRS as an employer: https://www.cnrs.fr/fr/le-cnrs Presentation of IRISA as the host laboratory
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Centre National de la Recherche Scientifique - CNRS UMR 6614 | Saint Etienne du Rouvray, Haute Normandie | France | 1 day ago
reactive environments. Thus, to accelerate the widespread adoption of future clean, efficient, and robust combustion technologies, it is essential to gain a detailed understanding of the physical processes
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the Advanced LIGO detector sensitivity and robustness. This is a highly multidisciplinary activity. Your interests and passions will play a role in defining on which research aspect you will focus primarily
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in delivering state-of-the art eye care, training future healthcare leaders, and conducting cutting-edge research. We have a robust training program that will provide you with a strong foundation to
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. The research may, for example, concern scalable optimization methods, resource‑efficient and robust machine‑learning methods, or optimization‑based and/or learning‑based methods for control. The research may be