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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected
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a prototype Machine Learning (neural network) model to automate the transpilation process—translating theoretical circuits into hardware-compatible versions. Iterative Design: Work with the research
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-cell signaling in real time. You will integrate these platforms with optical readouts and image-based assays, and apply them for single-cell quantification of receptor activation, cell–cell communication
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processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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competence in image analysis and data processing. What you will do Develop and optimize experimental workflows, including sample preparation under different environmental conditions. Design and conduct
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systems for diagnostics and treatment. Core activities include signal processing, antenna design, and measurement hardware development. Building complete prototype systems for clinical testing is a central
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and molecular genetics as well as hands-on experience with cloning, live-cell fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model
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to the forefront of quantum technology, and to build a Swedish quantum computer. In our research group, the 202Q-lab, we use superconducting circuits to explore fundamental and applied questions in the areas