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analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic
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simulation techniques based on finite element and multibody dynamics formulations. Your tasks involve developing new elements tailored to the multi-physical effects seen in high-performance mechatronics
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biological techniques to elucidate how specific metabolites modulate immune function and to develop synthetic small molecules that can mimic these processes. The candidate will be trained in a variety of
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synthetic chemistry, proteomics, and biological techniques to elucidate how specific metabolites modulate immune function and to develop synthetic small molecules that can mimic these processes. The candidate
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biological techniques to elucidate how specific metabolites modulate immune function and to develop synthetic small molecules that can mimic these processes. The candidate will be trained in a variety of
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manufacturing. As steel is highly recyclable its usage helps in creating a more sustainable world. For simulations of industrial processes concerning such complex materials one must typically rely on continuum
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simulations. Job description We are looking for outstanding experimentalists that are eager to participate in our research. The group aims at research at the highest international level. Candidates that fit
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to uncover the vital mechanism of selective IDP-mediated transport and thus answer one of the central questions in molecular cell biology. We collaborate with experts in cell biology and MD simulations. Job
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manufacturing. As steel is highly recyclable its usage helps in creating a more sustainable world. For simulations of industrial processes concerning such complex materials one must typically rely on continuum
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on correct gene expression, so the process of transcription is tightly regulated. During early elongation of RNA Polymerase II, it is likely to terminate. Early termination has a big impact on transcriptional