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Field
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involve optimizing protocols to convert patient-derived skin cells into neurons (iNeurons). New AONs will be screened through reporter assays and RNA sequencing in iNeurons. Using advanced techniques
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focus on developing, analyzing, and optimizing the electrochemical system design, paying particular attention to electrode materials, the separator required for the absorption and desorption processes
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candidate will be an integral part of the prestigious ERC Consolidator Grant, THERMODON on harnessing the unique capabilities of ONNs to solve combinatorial optimization problems. ONNs, inspired by
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that can self-learn bulk visco-elastic properties? How to structure such materials to learn continually and counteract the aging of their own parts? Can we optimize self-learning materials to achieve
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through optimization of ion channels incorporation and activity in lipid bilayers. The project sits at the interface of biophysics, engineering and biochemistry. The PhD student will be part of
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leverage assets such as grid-level battery storage, and electrolyzers to have more flexibility when making trading decisions. The challenge then is how to optimally leverage such an asset to make viable
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manufacturing and optimization of advanced PTL/MPL architectures, with the goal of improving efficiency, durability, and reducing precious-metal requirements. This is a unique opportunity to combine modeling
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Research Infrastructure? No Offer Description Topic background A proper functioning drinking water distribution network is of major importance for society and keeping this network optimally operational is
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ED configurations for hybrid desalination schemes without the need for added chemicals. Your work will combine ED stack design with membrane modification strategies to optimize ion selectivity and
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first focus on hedging decisions with respect to the uncertainty on the battery model itself. To this end, you will explore concepts such as distributionally robust chance constrained optimization. Second