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improvement, operation performance monitoring, resource allocation, expense management/revenue optimization, data management Develop project plans, timelines, and deliverables; track progress and ensure
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19th June 2026 Languages English English English We are looking for a PhD candidate at the Department of Engineering Cybernetics PhD Candidate in Data-driven optimization for Energy Communities
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properties Regeneration strategy: Define optimal thermal or vacuum regeneration conditions to ensure the sustainable and economic viability of the process. Candidate profile: PhD in chemical engineering
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composite membranes with recourse to parameters pertaining to membrane casting solutions composition, MOF structures, coating techniques and membrane casting procedure. - Modeling and optimization
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recent years in conjunction with Variational Monte Carlo methods and efficient optimization techniques to obtain excellent representations of the ground state of many-body quantum systems
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valuable elements; Analyze, interpret, and synthesize experimental results to support process optimization; Contribute to the assessment of the environmental and sustainability performance of the developed
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designs, optimization models, forecasting methodologies, and chain management principles, to improve overall systems. Analyzes existing flow of people, activities, and materials, employee work methods and
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effective reports and dashboards. Learn and apply best practices in data modeling and ETL processes to ensure data integrity and accuracy. Collaborate with senior team members to refine and optimize reporting
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transformation activities, optimizing system setups (such as SharePoint), developing Standard Operating Procedures (SOPs), and facilitating knowledge-sharing initiatives. Working closely with internal stakeholders
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University’s Slate CRM ecosystem & maintains the operations for the Visit and Guest Experience. This role is responsible for system optimization, data governance, integrations, reporting infrastructure, and