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, and how these molecules interact within cells to form complex functional networks. We are also working towards applications of our knowledge to address important real-world problems. PhD: 3-4 years full
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biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run high-performance numerical experiments
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Charité–Universitätsmedizin Berlin (Dr. Rosanna Sammons); for further information, see https://www.sfb1315.de/ - development of network models of the CA3 region of the hippocampus - investigation
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have extensive knowledge on processes governing cross-shore transport and can use experimental data to develop predictive models. Experiences within numerical modelling of coastal processes is considered
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-supervised by Dirkjan Schokker Where to apply Website https://www.academictransfer.com/en/jobs/358086/phd-ai-models-to-identify-disea… Requirements Specific Requirements You are an accurate, structured, and
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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation
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start? Have a first look of what it’s like working at ICE-2: https://go.fzj.de/ice-2 We are offering an interesting PhD Position – Techno-economic assessment of geothermal plants with material co
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on electrophysiological approaches (MEEG, iEEG) and signal processing, while in Maastricht, the partner team provides ultra-high-field imaging (7T and 9.4T fMRI) and AI-based modeling. The PhD student will be enrolled
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digital twins be used to provide on-line predictions as to the future expected evolution of these critical properties as the basis for safe reinforcement learning (RL) for on-line optimal control”. In
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school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities/organizations, but brought together under the DDLS program, which has four