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extracellular vesicles for various biomedical applications and the clinical implementation of CRISPR-based gene therapies and CAR-T cell therapies. This strong clinical focus fosters highly rewarding interactions
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to the engineering process, ensuring it is current and usable for informed decision-making in circular economy contexts. The research group studies how technology impacts organizations using mixed methods—both
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for material structuring – We investigate nanostructured soft materials using graphene and other high aspect ratio fillers to enhance antibacterial, electrical, thermal, mechanical, gas-barrier, and hierarchical
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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Laboratory is addressing thermal management and advanced packaging, mainly by manipulating nanomaterials and compositions to reach maximum thermal, electrical or mechanical performance. The group has a long
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these materials at the end of their life is a growing challenge. Current recycling methods often damage the fibres, use a lot of energy, or have negative environmental effects. This project aims
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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality
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of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. For more information about the total announced post-doctoral positions within
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Are you passionate about advancing lithium-ion batteries and driving innovation in next-generation batteries? Do you want to transform advanced electrode processing for electric vehicle batteries
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of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing