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29th March 2026 Languages English English English The Department of Chemical Engineering has a vacancy for a PhD Candidate in Process Systems Engineering and Real-Time Optimization Apply
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liquid lead or lead-bismuth eutectic as coolant. This coolant enables high-temperature operation without pressurization and offers an enhanced neutron economy leading to a better fuel utilization. A
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at the Copenhagen campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend no. 3: Data-driven methods for design and operation of human-centric energy-optimized indoor
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training Skills in process design, optimization, scale-up, and regulatory compliance A realistic, high-probability pathway into an industry career after graduation Applicants should have, or expect
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hardware architectures. The applications domains are diverse, ranging from AI for science, over AI for semiconductor process technologies to automotive and health applications. Within this department
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to apply. Interest in developing optimization-based methods and experience with Matlab are also valued. Specific Requirements Recruitment process Interested candidates are warmly invited to send an e-mail
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Optimization (DPO) and reinforcement learning from human feedback, building preference datasets together with clinicians - Build and run a Red Team process with physicians, computer scientists, and patient
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for the turbomachinery design optimization process conducted by a parallel PhD student at LMFA. The numerical solver involved is ProLB. It is an innovative Computational Fluid Dynamics (CFD) software solution developed
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modeling to create a predictive tool that spans orders of magnitude in length and time. Hands-On Numerical Modeling: Implement your model in a custom-made data analysis tool that uses advanced optimization
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promising technology for producing large and complex metal component. Although its potential has been widely demonstrated, significant challenges remain in optimizing the process to ensure the quality