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We are looking for a postdoctoral researcher who wants to contribute to the development of next-generation frameworks for resilient power grids. In this role, you will combine theory and
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on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid state
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to sustainable food production, nutrition and health. Our research ranges from food chemistry and technology to precision nutrition, with a strong focus on marine and plant-based food systems. By combining
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research ranges from food chemistry and technology to precision nutrition, with a strong focus on marine and plant-based food systems. By combining fundamental and applied research, we aim to improve food
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collaborative research environment where advanced characterization techniques are combined with high pressure experiments. Research environment The position is placed jointly at the Division of Chemical
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, interpretable, and clinically actionable models for personalized medicine. The SYSBIO division provides an international and collaborative environment, combining computational, biological, and medical expertise
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for personalized medicine. The SYSBIO division provides an international and collaborative environment, combining computational, biological, and medical expertise to address complex health challenges. Who we
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battery performance. The project combines expertise in materials science, electrochemistry, and physics, and offers a collaborative environment with access to well-equipped labs and technical support. About
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systems demand power amplifiers combining high efficiency, linearity, and frequency agility. Meeting these requirements calls for a deeper understanding of how semiconductor device properties influence
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aims to secure the network infrastructure of distributed AI. The focus is on designing resilient architectures and protocols that combine network-level protections with AI- and system-level adaptivity