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on life events and romantic relationship dynamics. The assessment methods include longitudinal experience sampling studies. Another research focus of the division is the investigation of romantic
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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arbitrary complexity and shape at the sub-nanometer scale. Such structures can be used to construct artificial cell mimics and new materials. A scaffold-free DNA tile assembly is a programmable method for the
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include: Implementing the classical components of the Sample-Based Quantum Diagonalization [1] method within the MiMiC multiscale simulation framework Developing and integrating a communication interface
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methods/simulations, state-of-the-art computational techniques (e.g. data-driven methods and/or FEM) and/or theoretical material modeling will be given preference We offer: chance to collaborate with
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. DAAD will conduct a formal review of the applications received via the DAAD portal only, according to the DAAD criteria. In addition to this first step, applicants must at the same time/as a second step
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stages: In the first stage, the pre-selection, the Studienstiftung checks whether the formal conditions and the Studienstiftung's requirements are met. This is followed by the assessment round (by means
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materials, functional precision membranes, optoelectronic and electrochemical devices, by employing advanced experimental and theoretical methods in an interdisciplinary approach bridging synthetic chemistry
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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degree in biology, biomedicine , biochemistry , medicine, veterinary medicine or equivalent Experience with molecular biology and biochemical methods, cell culture, organoid culture, as well as confocal