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. The research focuses on the areas of human-computer interaction and visualization. It involves designing controlled user experiments and applying AI techniques such as reinforcement learning and foundation
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. Knowledge of PyTorch and hands-on Python programming. Knowledge of machine learning and robotics, or foundation models. Awareness of diversity and equal opportunity issues, with specific focus on gender
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a doctoral student with a strong background in machine learning, mathematics, and modeling, and an interest in biological systems. The successful candidate will join a project to understand and model
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and Semantic Systems (RSS). The RSS division focuses on research and teaching in AI, Machine Learning, Robotics and Robotic Learning, Human-Robot Interaction, and Natural Language Processing. Together
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software, the scope includes engineering of AI enabled systems (primarily ML and LLM), and thus MLOps (Machine Learning Operations), datacentric AI, and legal and ethical aspects of AI. The empirical
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diseases. The Project Assistant will primarily focus on processing and analyzing large-scale proteomics datasets. The Project Assistant will develop workstreams and execute existing omics and machine
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maintenance tasks. - Monitor and operate digital fabrication equipment, including laser cutters, 3D printers, and cutting machines. - Check and maintain workshop machinery with regard to functionality and
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) to help shape and accelerate the adoption of advanced machine learning and AI in data-driven Life Science research. At the SciLifeLab Bioinformatics Platform (NBIS), a unique national infrastructure with
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regions in three European countries (Sweden, Denmark, Germany), using a novel machine learning approach combining NLP and LLMs to analyse newspaper data. Findings will inform place-based, just governance
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or high-resolution satellite data experience of machine learning or AI applied to image data experience of version control with Git, reproducible workflows and cloud-based data processing experience