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focuses on Sonic Efficacy in Global Southern Asia. Sonic efficacy in global Southern Asia employs immersive ethnography and participant observation, sound studies and sensory anthropology methods to pursue
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Student or Postdoc (f/m/x) in the field of Theory and Methods for Non-equilibrium Theory and Atomistic Simulations of Complex Biomolecules Possible projects are variational free energy methods
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 10 days ago
develop state-of-the-art theoretical and computational methods to model strong light–matter coupling in and out of equilibrium, across gaseous, liquid, and solid-state systems. Key responsibilities The PhD
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further education and training • Systematic start: Structured induction • Healthy at work: Numerous health promotion offers, free membership in UKBfit • Employer benefits: preferential offers
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institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the Leibniz Association and has about 250 employees. The INM research group
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 14 days ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
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using confocal and intravital microscopy. The European Institute for Molecular Imaging (EIMI) is an interdisciplinary institute within the University of Münster developing imaging methods allowing
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-made education: Subsidized further education and training • Systematic start: Structured induction • Healthy at work: Numerous health promotion offers, free membership in UKBfit • Employer
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and