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cells, biomaterials, synthetic biology, DNA nanoscience, polymer gels, systems chemistry, enzymatic reaction networks, cell biology, biointerfaces, mammalian cells, tissue-like systems, cell spheroids
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 1 month ago
after the probation period. - Remuneration/month: Salary range - PLN 4,800–5,500 net/month. - The position can start on the 1st of October 2026. - Work in an active team in an excellent scientific
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articulate this process in discussions, presentations, and formal reports. Recent examples of our work have included novel approaches to analyzing network traffic, exploit development, and software
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articulate this process in discussions, presentations, and formal reports. Recent examples of our work have included novel approaches to analyzing network traffic, exploit development, and software
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Entanglement distribution is a foundational capability for quantum networks, enabling diverse quantum technologies including—but not limited to—quantum key distribution (QKD). QKD provides
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Description Do you wish to join the new Marie Sklodowska-Curie Action Doctoral Network PREFERENCE and help us make a transformative difference in the field of molecular imaging? Then, apply to join the
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, including physics-informed neural networks, neural operators, hybrid physics-ML approaches, and emerging foundation-model paradigms for scientific data. Scientific machine learning is increasingly important
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the position We are seeking a highly motivated PhD candidate to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. The research combines simulation, software
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to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. The research combines simulation, software development, and experimental validation in the Norwegian Cyber Range
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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