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the properties of composite, biological networks which consist of stiff filaments and liquid inclusions which arise from liquid-liquid phase separation. We will use a multi-scale approach bridging scales from
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instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In particular, we aim to develop a neural network architecture that will allow us
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addition, the dynamics and transport processes across the UTLS adds complexity to unveil the role of UTLS aerosols in cirrus formation and the life cycle of cirrus. Therefore, it is crucial to measure
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Experience in conducting complex laboratory experiments and test series, with experimental design and measurement data handling Good programming skills in Python Experience with hardware-related programming is
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implement computational frameworks for processing, integrating, and analyzing large-scale phosphoproteomics patient data, supporting the discovery of signaling networks and actionable therapeutic targets in
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particle physics. In all of these areas, methodological development through machine learning is taking place — for example, in predicting the evolution of complex molecular systems over long timescales
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from multiple disciplines to address complex research questions that require an interdisciplinary approach. Shape your scientific journey in fields such as molecular and cellular biology, genomics and
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strategies within a basic research framework. The Institute of Molecular Medicine II is actively involved in several research networks dedicated to these topics and applies a translational approach across its
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 1 month ago
of Biological Networks at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg (Germany). Our group develops computational methods and tools for analyzing and redesigning
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' to develop neural networks with remarkable information content: flies, which we use as a model, have brains that compute flying in 3D, navigation, metabolism and advanced learning and memory capabilities - all