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, manage infrastructure as code, and troubleshoot source code. If you have a solid foundation in Unix/Linux and are ready to dive into complex technical challenges, then you are the one we are looking
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or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide data analysis support to data
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for one to two PhD students in analytical chemistry to develop analytical methods for single cell analysis and mass spectrometry imaging using direct infusion mass spectrometry. The PhD candidate will work
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deadline is 30 July 2025. Work task You will provide researchers with expertise in the planning and performance of electron microscopy (EM), electron tomography and image analysis, in medical, biological
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deadline is 30 July 2025. Work task You will provide researchers with expertise in the planning and performance of electron microscopy (EM), electron tomography and image analysis, in medical, biological
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, including high-throughput screening, high-content imaging, omics technologies, and computational approaches, to elucidate mechanisms of toxicity. Ultimately, our work contributes to a deeper understanding of
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experience. Strong skills in experimental design and software development. “Reproducible research” and “FAIR data” are central concepts to us, and expertise in the development of reproducible code by using
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SciLifeLab. To be successful in this position you need a deep understanding of the emerging research field virtual cells, at the interface of advanced molecular cell biology and imaging on the one hand and
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School of Engineering Sciences at KTH Job description The research project concerns the development and use of MINFLUX single-molecule microscopy for cellular imaging and dynamic studies
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, and expertise in the development of reproducible code by using code sharing platforms, workflow languages and container solutions is a strong merit. Consideration will also be given to how