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Field
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the existing control architecture of PROTEAS. Optimise EMS operation to ensure efficient management of renewable energy flows between solar, wind, battery, and thermal storage systems. Develop and maintain
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one or more of these subjects are valued: machine learning, automatic control, system identification, optimization, signal processing, filtering and smoothing, probabilistic modelling, dynamical systems
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Requisition Id 15709 Overview: We are seeking a Postdoc who will focus on urban-scale energy modeling. This position resides in the Grid Interactive Control Group in the Energy Systems
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looking for a motivated postdoctoral researcher with expertise in glass and ceramic processing. An ideal candidate will have a Ph.D. in Materials Science and Engineering or a relevant field with expertise
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is grant funded; future employment may be contingent upon future funding. Apply! Submitting a cover letter, resume/CV to assist us with the review process. You may upload these documents
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, and uncertainty-aware algorithms for autonomous driving systems. The position focuses on developing robust decision-making, planning, and control methods that address uncertainty arising from perception
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control and energy-management algorithms for efficient and reliable long-duration operation. Implement hardware-in-the-loop (HIL) and real-time co-simulation for validation under realistic grid scenarios
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into the power grid. The successful candidates will support projects on the planning, operation, and control of future power grids accounting for renewables and electrification to achieve clean energy goals using
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electromagnetic separation process to validate the selection of the appropriate design for treating, concentrating, and purifying the matrices under investigation. Job Description: The position is open to
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projects. Profile and requirements The position requires research experience at PhD level in a relevant area such as robotics, preferably applied to robotic manipulators controlled with visual feedback