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dynamic metabolic processes within microfluidic systems. Integrate microfluidic platforms with NMR hardware, including fluidics interfacing, probe adaptation, and spectral acquisition optimization. Analyze
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, and bioprotection, including culture selection and process optimization. Establish and apply proteomics-based workflows to characterize protein mixtures and proteolytic events (peptide/protein profiling
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robotic 3D printing. Optimize the digital twin for different manufacturing process parameters, printing methods and materials. Disseminate the results in peer-reviewed journals. More specifically, you
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computationally efficient at simulating permanent magnet structures, and capable of leading to the globally optimal solution of the underlying design optimization problem. We aim to combine gradient-based
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as
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will collaborate with leading scientists and industrial partners to design and optimize next-generation solvent systems for energy-efficient carbon capture processes. Your overall focus will be
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manufacturing of next-generation stack components. In this project, we aim to develop, optimize, and test an innovative monolithic component that aims to substitute conventional porous transport layers (PTLs) and
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limited to one year with the possibility of extension. The research assistant position may potentially lead to the opportunity to begin a PhD position based on the candidate’s career stage and wishes. We
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in next-generation antibody engineering (bi-/multispecific and multimodal formats), phage display, gene-editing–based molecular and cellular glycoengineering, and optimized mammalian cell systems
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is known worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all