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19 Mar 2026 Job Information Organisation/Company Stockholms universitet Research Field Chemistry » Analytical chemistry Researcher Profile First Stage Researcher (R1) Application Deadline 22 Apr
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endosomal escape events. The tasks include developing, training, and validating deep learning–based models for event detection and vesicle tracking, and integrating these models into automated analysis and
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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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advanced machine learning and statistical methods, strong analytical skills and solid programming experience, very good English communication skills, both written and spoken, the ability to work
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spatial immune cell niches in cancer. Advances in high-throughput spatial omics technologies measuring various analytes now capture this complexity in remarkable detail, providing groundbreaking insights
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multi-omics integration with advanced machine learning, including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging extensive meta
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subject’s general study plan . We are looking for candidates with: A solid academic background with thorough computational and analytical understanding; Proficiency in programming in Python and deep learning
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quantitative shape representations Analysis of structure–function relationships between morphology and movement Modelling genome–phenotype relationships using machine learning and genomic language models
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representations Analysis of structure–function relationships between morphology and movement Modelling genome–phenotype relationships using machine learning and genomic language models The project offers a unique
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need to have a genuine interest in high-quality research and possess strong analytical skills with a scientific approach. As our activities are conducted in an international environment, you must have