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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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closely with biology and modelling colleagues in a vibrant interdisciplinary team. Key accountabilities / duties You will: Design, set up and deliver robust measurements of plant-generated acoustic
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well as LiDAR measurements, into ensemble agroecosystem model simulations. The successful candidate will play a key role in developing robust landscape-scale digital twins and advancing data assimilation
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Control of Buildings (https://annex96.iea-ebc.org ). Responsibilities and qualifications The primary objective is to advance scalable modeling methodologies for building energy systems by combining physical
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to rapidly identify high-performing plants and make data-driven decisions, accelerating variety development and reducing costs. You will support the next phase of the project as it moves from controlled
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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, but using a central controller with a global view of the state, which does not scale and induces signaling latencies incompatible with satellite dynamics [5–6]. Decentralized alternatives via Graph
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Bioresources we aim to make advancements in sustainable crop production and pest control and develop microbe-based solutions for the food systems and bioeconomy. Hereby, numerous and diverse projects address
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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