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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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as natural experiments and interpretable machine-/deep-learning models. Publish research results in high-quality international journals (at least two peer-reviewed papers are expected). Eligibility
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. Conduct transportation resilience assessment and enhancement studies based on GIS, complex network analysis, and machine learning. Simulate human mobility in response to extreme weather events (e.g
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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
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modeling of protein dynamics We are seeking a highly motivated PhD student to join a DDLS-funded project at the interface of structural proteomics, protein biophysics, and machine learning. The position is
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study design, conduct high-quality omics analyses and statistical and machine-learning based modeling, as well as gaining a deeper understanding in extracellular vesicle biology. Work duties and