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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and international
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Area of research: Scientific / postdoctoral posts Job description: We are seeking an enthusiastic and motivated PhD student to conduct research at the interface of immunology and neuroscience
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research deals with both emergence and collapse of authoritarian regimes as well as their dynamics and transformation. Job description: The project focuses on studying long-term mechanisms of survival
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assays (e.g., high-throughput atomic force microscopy). This position offers the opportunity to work in a dynamic and multidisciplinary environment, contributing to a project with both fundamental
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messengers transported by the flow or even the pressure of the fluid itself. In an interdisciplinary team, you will either develop theoretical models of the feedback between flow and network architecture
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location Bremen In cooperation with The IGS is embedded in the Bremen Research Cluster for Dynamics in Logistics "LogDynamics". It is a collaborative initiative, bringing together the working groups of five
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facilities (sequencing, proteomics and metabolomics). This dynamic setting fosters innovation and teamwork, enabling cutting-edge discoveries in the field of microbiome studies. The candidate will work on a
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 19 hours ago
Leibniz Association. Our subject is the sustainable development and transformation of cities and regions in the context of the global human-ecological crisis. We investigate dynamic interactions between
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-prey contacts to understand decision making underlaying aggressive predatory biting. Using data-driven modelling, you will compare these dynamics to investigate prey choice and reward signalling. Your
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | 2 months ago
behavioural data of predator-prey contacts to understand decision making underlaying aggressive predatory biting. Using data-driven modelling, you will compare these dynamics to investigate prey choice and