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IEI at Linköping University. This PhD project, funded by Saab, focuses on developing advanced optimization-based control algorithms for control allocation for next-generation fighter aircraft. Control
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to enable efficient and controllable biotransformation. Key Responsibilities: Apply environmental biotechnology to construct pure culture or mixed culture system. Operate bioreactors and optimize process
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About the Opportunity Job Summary The Snowflake Developer is responsible for designing, developing, optimizing, and operationalizing Northeastern University’s Snowflake data platform. This role
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computational tools, including optimal-control techniques, that directly support ongoing experiments and advance the control of bosonic quantum operations. About us The position is hosted at the Applied Quantum
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application! We are looking for a PhD student in automatic control. Your work assignments You will work within a project focused on optimization, planning, and decision-making in control systems involving
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 6 hours ago
procedures, a clear chain of command, and a management structure responsive to the needs of both staff and patients. S/he will oversee the support of providers to ensure optimal revenue generation. The AACMO
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
of multiphase reactions Assessment of different process configurations and application scenarios, including techno-economic evaluation Investigation of process intensification opportunities through optimized
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Connectivity for Biomarker and Treatment-Response Discovery Establishing frameworks and parameters around Value-Based Digital Health Implementation Challenges in AI for Pathology Optimal Design of Control Charts
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for scheduling, preventive maintenance, deviation management, change control, and batch record integrity. Optimize end-to-end workflows spanning production, QC/QA, logistics/distribution, and clinical imaging
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for developments in all-electric agricultural vehicles, including larger vehicles such as self-propelled sprayers. The focus is on intelligent motor control systems for optimal performance and energy-efficiency