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, and increasing data complexity, as well as how monitoring approaches can be designed to remain effective across different marine contexts and scales. The successful candidate will contribute
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communication systems for AI-driven applications. The objective is to investigate, design, and experimentally validate information-theoretically secure coding schemes tailored to the demanding requirements
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, to trace the chemical enrichment of the universe, and even to better understand planet formation. Most of my research involves huge data sets with observations of all different kinds (e.g., photometry
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international and most innovative employers in the region. With more than 6 000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push
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Apply now Are you a curious, research-driven historian with an interest to collaborate in a team that is interdisciplinary? Do you wish to write a PhD thesis with impact? Then this is the vacancy for you
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collaboration with national and international stakeholders, the project aims to establish a validated, data-driven design framework. Key outcomes will include an open-source Python toolkit, measurable
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building sensor data, you will train AI models to recognize abnormal performance patterns, quantify quality-adjusted service life, and autonomously recommend whether a system needs maintenance, recalibration
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; biochemical characterisation of virus–glycan interactions. These insights will be integrated to define glycan features that govern influenza attachment and to develop advanced in vitro receptor models
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the deadline for the most recent call. Applications will by default be for a starting date in September of the following academic year, but a different individual starting date may be negotiable. Application
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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | 2 months ago
plants grow, reproduce and interact with the abiotic and biotic environment is at the focus of the IMPRS. We conduct curiosity-driven, basic research centring around the following questions: How do primary