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Field
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research ideas connected to the position. A copy of the degree certificate / diploma and a transcript of academic records proving the applicant’s eligibility to pursue postgraduate studies. The documents
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through simulation Utilize advanced CMOS technology nodes (28nm, 22nm, and below) Automate the design and layouts using Skill programming Develop behavioural models for circuit verification Contribute
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
schools, clinics and water facilities, while reducing dependence on diesel generators and promoting circular economy solutions. The work will mainly focus on modelling, algorithm development, simulation
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-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific
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Copy of a diploma or certificate confirming the completion of a Master’s degree. Document confirming doctoral school enrollment. CV. Signed consent for personal data processing for recruitment purposes
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Copy of a diploma or certificate confirming the completion of a Master’s degree. Document confirming doctoral school enrollment. CV. Signed consent for personal data processing for recruitment purposes
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maintaining a balanced personal life. Employment terms: Monthly scholarship: 5000 PLN. Scholarship duration: 1 year Selection process Copy of a diploma or certificate confirming the completion of a Master’s
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, with a primary focus on the interface between reactor output and the ship's overall power demand. This work will be carried out on a nuclear reactor simulator, with the possibility of validating results
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variations in the Amazon Basin by modeling several contrasting paleoclimatic episodes. The following types of simulations will be conducted and analysed: - Realistic simulations of the climate during the Last
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient