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processes. Carbonate biomineralisation is a key process in global carbon cycling, but there are major gaps in our understanding of how biominerals form. We lack a quantitative understanding that can predict
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regulation of chemical reactions and processes. RESOLV’s mission stretches from fundamental research to the translation into applications such as green technologies or smart sensors. We offer two training
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programme duration: three years Regular Track (individual doctorate) residence in Cologne is not required but recommended application: at any time (admission procedure four times a year) programme beginning
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-relevant forms of scholarship into their doctoral education process. Awards of up to $10,000 are available to support innovative/collaborative scholarship which the student would otherwise be unable
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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 | 3 months ago
reward signalling. Your qualifications A masters degree in neuroscience, physics, evolution and ecology, or related quantitative fields. Prior experience with Python or Matlab, and a willingness to learn
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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 4 hours ago
provide a unique opportunity for PhD research and training in modern plant science. Understanding the fundamental processes of how plants grow, reproduce and interact with the abiotic and biotic environment
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equality, diversity and inclusion in all our activities, processes and culture. We encourage applications from all sections of society. The LMB particularly welcomes women, minority ethnic and disabled
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Point is dedicated to assisting and advising doctoral candidates from all disciplines. It provides information about the first steps towards becoming a doctoral candidate (admission regulations
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Directed Energy Deposition (DED) process for metallic components. The PhD candidate will focus on edge computing and the application of AI for data analysis and for identifying correlations with ground truth