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of Theoretical Chemistry is looking for a PhD Student (f/m/d) Theoretical Chemistry subject to pending project approval. Your tasks Simulations of activation energy barriers of adsorption/desorption
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fluorescence methods, e.g., spectroscopy and microscopy Computational simulation of the molecular interactions within the liposomal membrane in cooperation with expert teams Summarizing your results in
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to correct or account for these biases, and build predictive models that simulate biological responses to in silico perturbations such as genetic or pharmacological interventions. The project aims to advance
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from outside the University of Stuttgart Can attend courses and seminars specially designed for simulation technology Are able to exchange technical and methodical information Are integrated
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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
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project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include
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simulation tools. Specific tasks include: ▪ Implementing ISAC resilience strategies derived from theoretical work (e.g., waveform design, resource allocation, adaptive sensing approaches). ▪ Simulating ISAC
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to correct or account for these biases, and build predictive models that simulate biological responses to in silico perturbations such as genetic or pharmacological interventions. The project aims to advance
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Your Profile: Master`s degree in physics, mathematics or a similar discipline Knowledge of quantum physics Experience in quantum field theory Numerical simulation skills Ability to show initiative and
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and