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of precision fermentation or cell culture - Affinity towards technical tasks and bioprocess control - Advantageous: Experience in mathematic modeling, programming, CAD, microfluidic or bioreactor systems
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identify network designs that can further enhance global telecommunications and urban performance. This exciting PhD project presents several scientific challenges, including developing advanced models
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machine-learning-based surrogate models to accelerate design and control workflows. This PhD studentship would suit candidates with backgrounds or interests in engineering, physics, applied mathematics
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If you want to pursue a research career at the intersection of additive manufacturing (AM), microstructural engineering and advanced statistical/machine-learning (ML) based modelling, then this PhD
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Description PhD Position in Stochastic Analysis at IMPRS Leipzig MPI MiS, the Max Planck Institute for Mathematics in the Sciences, will launch a new Emmy Noether Group on "Noise in convection: modelling and
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of neuroscience and new computational methods, combining mathematical and biophysical models with state-of-the-art diffusion and functional MRI data, in typically and atypically developing populations through
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) and define the problem mathematically. Secondly, a central component of the PhD will be to learn mappings between heterogeneous spaces through latent-variable models and representation learning. Some
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. This PhD project aims to create advanced XCT workflows by developing Artificial Intelligence (AI) and Machine Learning (ML) tools to support imaging before the reconstruction phase. The research will focus
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microstructural features to macroscopic mechanical behavior. The objective of this PhD project is to develop advanced mesoscopic crystal plasticity models capable of capturing microstructure-dependent plastic
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accessibility data will also be developed. The framework will be addapted and applied to spatial data to connect the GRN models to specific tissue phenotypes and to gain a better understanding of e.g. cancer