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the theoretical framework developed on empirical data currently collected independently in the project. Examples of the approach can be found in Ecological Modelling 205: 196-208 and Ecological
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like climate change. Recent developments even reflect alarming alignment between some major platform companies and climate denialist politics. Examining platforms’ own influence on climate science
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that are both fast and adaptive? This thesis aims to develop a robust hybrid learning framework that lies at the nexus of online and offline learning. The developed algorithms should be able to benefit from
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-Earth orbits, novel signals and frequency bands; the implementation of the Celeste In-Orbit Preparatory (IOP) phase to prepare for a future LEO-PNT operational system for the European Union and to unlock
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- 1 fte Introduction Are you a proactive sales professional with a passion for education and advising professionals on their development journey? Do you thrive in a high-impact, intellectually
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contribute to the development of innovative, physiology/ machine learning-driven clinical solutions and decision support tools for critically ill patients, focusing on cardiovascular and respiratory monitoring
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-frequency ultrasound waves. We have developed methods to detect such ultrasound waves using light as well, enabling optical microscopy with ultrasound as a contrast agent. In this project, you will build a
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for a motivated and talented postdoctoral researcher to join an ambitious interdisciplinary project on next-generation optical sensing technologies. In this project, you will develop novel theoretical and
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chemistry, synthetic chemistry and passion for developing new molecular tools to study biomolecular interactions in a system-wide manner. Your job Molecules in our body constantly make interactions. This is
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experimental practice across education, research, and lab operations. You will help compose hybrid mechanics labs (hands-on + digital), develop reliable experimental workflows, support materials–surface