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and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy
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research, driving the development of innovative, sustainable and smart processes and products through world-class research while actively investing in graduate and undergraduate education and mentorship
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/or short stays such as holidays are not considered. Selection process The selection and recruitment process will be in accordance with the European Charter and Code of Conduct for the Recruitment
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 2 days ago
breeding populations to investigate the genetic basis of traits such as visual anther extrusion, heading date, plant height, and grain yield. You process genotypic data, ensure its alignment with phenotypic
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Grant LUMIN. This cutting-edge interdisciplinary project aims to understand charge transport in the natural mineral feldspar, unlocking new ways of measuring the rates of Earth surface processes — from
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Experience in processing remote-sensing information and machine learning is an asset Capacity for interdisciplinary teamwork and excellent communication and presentation skills Ability to communicate in
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national service and/or short stays such as holidays are not considered. Selection process The selection and recruitment process will be in accordance with the European Charter and Code of Conduct
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of eligibility requirements, including English-language proficiency skills, to undertake a PhD in the Faculty of Arts are available at https://arts.monash.edu/graduate-research/application-process/ . Applicants
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather