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Field
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staff position within a Research Infrastructure? No Offer Description Junior Researcher Human-AI Collaboration for the Exploration of Large Unstructured Data (f/m/d) 20 working hours | Research Within
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experience in the processing and integration of massive datasets (‘big data’), they will contribute to ecological modelling, environmental impact forecasting, and soil biodiversity analysis in the central
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We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data
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to better predict the right medication for patients, using data from multiple large biobanks. The position is based in the multi-disciplinary and collaborative Wray-Visscher Complex Trait Genomics Group
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learning analysis of biomedical data and bioscientific programming for projects on neurological diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical
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to: Designing and implementing pharmaceutical evaluation studies using RWD and/or omics data Extracting, cleaning, and processing large-scale EHR, claims and/or omics data for analysis Developing and applying
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27 Mar 2026 Job Information Organisation/Company University Hospital Tuebingen Department Applied Medical Informatics Research Field Computer science » Informatics Researcher Profile First Stage
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 days ago
deployment, · knowledge of GPU computing and large-scale training, · experience working in an HPC environment, · experience with data annotation pipelines or synthetic data generation. We offer: · work in a
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generate the corresponding code. Exploring new approaches to the management and visualization of large volumes of data, especially in geospatial or real-time contexts. A duration of 12 months is estimated
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 5 days ago
deployment, · knowledge of GPU computing and large-scale training, · experience working in an HPC environment, · experience with data annotation pipelines or synthetic data generation. We offer: · work in a