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Field
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data integration, cancer systems biology, and single-cell analysis, with strong links to clinical and translational oncology. Our work is based in the dynamic research environment of Heidelberg
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digital technologies. At HPI, you benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
efficient algorithms -Graph drawing and layout algorithms (including dynamic and high-dimensional visualizations) Visualization in non-Euclidean spaces (e.g., spherical or hyperbolic) Perceptual studies and
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set the following five research priorities: Human | Data | Society Collective Behaviour Cultural Dynamics and Social Transformation Molecular Principles of Life Inequality and Conflict We want to give
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workshops, career development, and networking Join a dynamic institute hosting over ten atmospheric chemistry research groups, offering rich opportunities for collaboration and learning Extensive
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reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be complemented by own lab testing e.g., SSRT incl
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of molecular, cellular and organ biology. Research is at the core of this doctoral programme. The thesis research will be carried out under the direct supervision of one member of the IMPRS faculty. Our IMPRS
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of the characterisation techniques used in the field obtain average properties of what in reality is an ensemble of molecules. The aim of this project is to study the influence of molecular disorder on the light emission
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doctoral student to realize this project. You can expect an exciting research activity at a non-university, internationally networked institute with a dynamic and interdisciplinary working environment. Your
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environment and an excellent working atmosphere in a very dynamic and professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data