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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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Context and Motivation Bilevel optimization problems, in which one optimization problem is nested within another, arise in a wide range of machine learning settings. Typical examples include
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systems. Duties: Establish and optimize protein expression systems in various hosts (E. coli, yeast, insect, and mammalian cells). Perform protein purification using affinity, ion exchange, and size
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computational tools for bioprocess optimization, combining modeling, simulation, and data-driven methods to improve the efficiency and robustness of microbial and enzymatic production systems. You will design and
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aim to bring quantum photonics to life and shape the future of quantum technology. This fellowship provides optimal conditions to conduct groundbreaking preliminary research, preparing for an ERC
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(training provided). Design and optimize protocols for new biophysical assays to address complex cancer biology questions.– Example project: Science, 2023 Writing and submitting NIH training grants, including
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, and optimize biomass pyrolysis/gasification reactors for clean energy production. Process Optimization: Investigate reactor parameters, feedstock behavior, and thermodynamics to enhance yield
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Testing and Experimentation Facility (TEF) for the energy field. Specifically, it leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy
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large-scale NHP research efforts. 2) Implement Advanced Next-Gen Brain-Computer Interfaces (BCIs) Work with other i-BRAIN researchers involved in the development and optimization of next-generation BCIs