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Field
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contact the NRC Hiring team using the contact information below. The role We are looking for a Research Officer (RO) with experience in a variety of accelerated process optimization aspects to be
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applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization of Power-to-X processes for renewable fuel production. The project is primarily
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fellowship at AAU Energy, you will work with dynamic modeling, simulation and optimization of Power-to-X processes for renewable fuel production, such as green methanol and sustainable aviation fuel produced
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on advancing the state of the art in decision diagram-based methods for combinatorial optimization, including the development of new theory, algorithms, and high-impact applications. The candidate is expected
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will develop constructions that enforce the constraints exactly while remaining efficient, with theoretical guarantees on their accuracy and computational cost. Optimal scaling in constrained domains
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PhD Student (f/m/d) | Engineering Crystallization and Precipitation Processes for Biopharmaceuticals
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 7 days agodistribution will allow you to follow the process in real time and provide the data for process control and optimization. You will start with well-characterized model peptides and then move
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quantum and hybrid quantum–classical methods for power system analysis and optimization, with emphasis on their practical performance and suitability for real-time applications. Your work will include
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on established expertise in nanoparticle synthesis and surface chemistry, this project will optimize nanomaterial design for circulation, targeting, and therapeutic performance in neuroblastoma organoids, enabling
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Skjalg Bøhmer Vold 6th November 2026 Languages English Norsk Bokmål English English PhD fellowship in quantum computing, optimization on noisy gate-based NISQ platforms Apply for this job See
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About the CDT Machine Learning has a dramatic impact on our daily lives built on the back of improved computer systems. Systems research and ML research are symbiotic. Modern systems research