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processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) - Machine Learning for Modelling Complex Geochemical Systems. The job
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Description The majority of hydrological models rely heavily on the principle of mass balance, often represented through Ordinary Differential Equations (ODEs). These models encapsulate
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complexes” During my postdoc I discovered that the TREX-complex member and RNA clampase UAP56 functions at the heart of nuclear mRNA export and orchestrates nuclear remodeling steps through its ATP-dependent
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the egg are essential for early development, yet the molecular events that awaken these transcripts remain poorly understood. During my postdoc, I identified proteins and mRNAs localized to storage granules
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basic models and patient-derived specimen with cutting-edge technologies. One of our recent projects has been to better understand human polyneuropathies by using single nuclei and spatial
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, the details of the process are not yet fully understood. Mechanistic learning, the combination of mathematical mechanistic modelling and machine learning, enables a data-driven investigation of the processes
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applications for a PhD Student or Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations for enzyme design Permeation and
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performance. They apply and develop a broad range of interdisciplinary technologies ranging from genetics and genomics to structural biochemistry, advanced imaging and computational and mathematical modelling
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are offering four PhD positions in the Simulation and Data Lab Digital Bioeconomy (SDL-DBE). The SDL-DBE develops and applies multiscale models, AI-enhanced simulations, and computational workflows across IBG
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and their interactions with the immune system, while also investigating new compounds with potential therapeutic effects. The department VIRI studies viral infections in animal models and in models