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. Project description Autophagy is an evolutionarily conserved self-eating process mainly purposed to eliminate or recycle dysfunctional cellular organelles or unused proteins. Autophagy plays an important
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Proteomics unit you will be responsible for data management and infrastructure, implementation and development of analysis pipelines. You will work on different datasets and help our users with image and
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dynamics and heat transfer research. Programming skills in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability
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master degree degree is required in relevant areas such as remote sensing, computer sciences, and mathematics. You are also required to have strong background in deep learning for image analysis, e.g
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Protein Expertise Platform, X-ray, proteomics, NMR (850-400 MHz), cryo-EM and Biochemical Imaging Centre (confocal, SIM, FLIM, spinning disk, TIRF, STORM). Project description Autophagy is an evolutionarily
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research involving sampling and detailed characterization of lime and cement clinker products from electrified manufacturing processes. The position is full-time for two years, starting on November 1, 2025
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sampling and detailed characterization of lime and cement clinker products from electrified manufacturing processes. The position is full-time for two years, starting on November 1, 2025 or as agreed
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machine learning approaches Implement and manage workflows for large-scale data processing on high-performance computing systems Design and perform validation experiments through tissue imaging, molecular
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techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model (LLM)-assisted visual analytics of text, images
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processes to human health and ecosystems. As part of SciLifeLab , a unique nation-wide infrastructure and research community that combines advanced life science technologies with data and AI expertise