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superparamagnetic and ferromagnetic nanoparticles suitable for biomedical use. Modify nanoparticle surfaces for compatibility with hydrogels and biological components. Optimize magnetothermal properties
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these proteins in probiotic bacteria and experimentally test their activity Optimize protein designs based on experimental results Develop bacterial biosensors of intra- and extra-cellular analytes Active
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to physical mechanisms of grain growth. Key responsibilities include: Implementing and optimizing segmentation pipelines based on MatSAM and other vision foundation models for high-resolution TEM video frames
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on testing a set of promising pre-identified catalysts in the existing experimental set-up. Based on your findings, you will optimize the catalytic systems and/or adapt the experimental plant to achieve
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, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and automatic code optimization
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automatic code optimization. The selected candidate will be able to work on cutting-edge innovations, leveraging the ample and interdisciplinary expertise of the REACT partners. The candidate will also profit
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full professor in non-linear PDEs, you will expand and deepen already established connections to other mathematical research groups, such as numerical analysis, geometry, continuous optimization
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optimization of molecular biological assays (e.g., LAMP, qPCR) Establishment and use of cell culture models Sample preparation (e.g., cell lysis, adaptation to amplification methods, as well as quantification
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and manufacturing technologies for the manufacture of innovative products. We develop new machines and processing strategies on behalf of customers, optimize existing production systems and implement
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developed in order to improve the chemical characterization of these ice-active compounds. The optimized analysis techniques will then be applied to a selection of atmospheric aerosol, cloud and precipitation