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-based models that optimise and control pharmaceutical manufacturing processes effectively. Your main responsibility is to develop and enhance discrete element models (DEM), integrating physics-based
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-reciprocity of spin waves Angular Momentum of Magnons Magnetically doped Transition Metal Dichalcogenide Thin Films via Molecular Beam Epitaxy Modeling of a magnonic diode based on spin-wave non-reciprocity in
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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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based on neutral atom platforms, exploring both theoretical and experimental domains. Research will span quantum control, quantum-enhanced machine learning, and hybrid quantum-classical computation
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-on expertise in Modelica-based tools and familiarity with HVAC systems and ASHRAE standards • Strong proficiency in modelling platforms, data analysis, and optimization techniques • Good communication skills and
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modelling, microgrid technologies, and simulation-based research. Key Responsibilities Participate in and manage the research project with the PI, Co-PI, and team to design a robust mobile DC microgrid
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developed the SPARCED pipeline to convert structured lists of species, parameters, and reaction types into an SBML (Systems Biology Markup Language) model file, and we created a model based on one
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. The work is part of the regional project “Optimizing Renewable Energy Integration: FPGA-Based Model Predictive Control (MPC) for Grid Stability” (Ref. SI4/PJI/2024-00238) Where to apply Website https
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, based on the posterior distribution of the allocation weights. We will model the tracking residual returns—index minus portfolio—as a noisy outcome with unknown variance, regressing the index returns
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fundamental and applied problems in mathematical modelling of plant morphogenesis based on these approaches. Depending on their preferences and abilities, this work may involve more numerical or analytical