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scale radar datasets with high quality labels remain scarce. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations
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of microorganisms in fluids. Living systems such as bacteria or algae exhibit remarkable capabilities: they swim, adapt, interact, and self-organize into dynamic patterns. Understanding and replicating these life
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of porous materials, peptide self-assembly and adaptive materials. You will have access to state of the art computational facilities at Amsterdam Science Park, work side by side with an experimental PhD
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this PhD project, you will develop responsive MOF-peptide coatings for adaptive protection and follow their chemistry in real time. You will combine porous-material synthesis, thin-film preparation and in
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multiscale simulations and AI predict how a breathable material knows when to seal? In this PhD project, you will develop responsive MOF-peptide coatings for adaptive surface functionalization and derive
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in particular. Since adaptation effectiveness is highly location- and context-specific we need a systematic comparison across cases. This PhD position is part of the European project ADELE, which aims
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This PhD project, part of the REACT MSCA Doctoral Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing
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: they swim, adapt, interact, and self-organize into dynamic patterns. Understanding and replicating these life-like dynamics in synthetic systems remains a major challenge across physics, chemistry, biophysics
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that networks will adapt themselves with your needs without your intervention? Join us on this research project in close collaboration with several high-tech companies to develop and demonstrate the next
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capabilities: they swim, adapt, interact, and self-organize into dynamic patterns. Understanding and replicating these life-like dynamics in synthetic systems remains a major challenge across physics, chemistry