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biology and bioinformatics, microbiology and immunology, molecular biology, molecular biophysics, molecular evolution, molecular systems biology, and structural biology. While the foundation of our research
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for applicants are available at: How to apply for a position . Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit of truth. Type
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workplace that promotes learning and development for all employees. Our team is an international and dynamic hub with great young talents from any levels and with different skill backgrounds including
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Sweden through collaboration within supported projects, consultations, mentoring, and advanced national postgraduate courses. Engage in the strategic development of advanced machine learning and AI
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microscopy, image analysis: Development of microscopes, fluidics, and data analysis pipelines used to acquire and quantify high-throughput binding data. Examples of suitable backgrounds: Optical engineering
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division The Division of Biomedical Engineering is part of the Department of Materials Science, and Engineering at the Ångström Laboratory. We perform research within the development of miniaturized
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learning frameworks such as PyTorch and Tensorflow, or from advanced usage of LLMs. “Reproducible research” and “FAIR data” are central concepts to us, and we value experience in the development
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sequencing data quality control within an interdisciplinary setting. This project is particularly suited to candidates with a strong interest in experimental method development and optimisation
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background in Machine Learning, with the ability to understand and extend current research Solid programming and engineering skills Comfortable working with modern development tools and practices Strong
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and