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accepted all year round Details Dynamic optimization is integral to many aspects of science and engineering, commonly found in trajectory optimization, optimal control (e.g. model predictive control, MPC
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designing and implementing advanced control algorithms to coordinate multiple energy sources including battery energy storage systems (BESS), solar PV, and diesel generators, and dynamically assign grid
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. Currently available topics, application and more information: https://phdquantumgrenoble.univ-grenoble-alpes.fr/phd-application/available-phd-subjects PhD subjects (full list available via the attached link
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the following areas: Electronic Structure and Dynamics in Advanced Materials Objective: achieving atomic-precision control and characterization of materials to deepen the understanding of their fundamental
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complex power network to meet the electrical loads of these sectors. Due to recent advances in smart metering infrastructure as well as wide area monitoring protection and control, the data and information
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diverse sectors, including agriculture, manufacturing and remote sensing. Check out the team website at https://decide.ugent.be Topic As robots move from caged industrial settings to dynamic environments
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structure, dynamics, and switching mechanisms at the nanoscale, including optical manipulation of polarization states. Design and execution of experiments demonstrating optical control of ferroelectric
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of figures from high-throughput data - Pipeline development - Rigorous, autonomous, dynamic, good team player - Excellent command of spoken and written English essential Website for additional job details
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 11 days ago
employment. Starting date: 01.05.2026 Job description:PhD Student (f/m/d) Dynamic Process Modelling and Value Chain Assessments for Sustainable Methanol from Renewable Energy With cutting-edge research in
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the modelling, simulation and analysis of the large, complex and dynamic systems (e.g. cyber and physical systems). The PhD student will join the Sheffield Control and Power Systems (CAPS) Laboratory (https