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pioneering role in the development of our services. The RDI Lab covers the entire research data lifecycle ranging from planning phase to data collection, analysis, publication and sharing of data with FAIR
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on various projects, ranging from data collection and analysis to real-time processing of neurophysiological signals and integrating hardware and software solutions for experimental research. We use a wide
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imagery, 3D, text, and tabular data. Your role will ensure the quality of this data prepare it for user-friendly analysis and ensure seamless integration with existing tools. Data Management: You will
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well as supporting out PhD students. Specifically, you will: support the organization of our final event, planned for September/October 2025 support the computational analysis of tweets and TV transcripts for a PhD
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, analysis, publication, and sharing—all with FAIR principles in mind—we offer specialized tools and services at each stage. As a service designer, you'll need to see the bigger picture and create one
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Nederland, MetaalUnie, TNO, fieldlab RoboHouse and TU Delft. The goal of the experiment is to explore how to accelerate innovation in physical work processes for SME’s in the construction and metal sectors
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/ESM). Advanced data analysis techniques (e.g., machine learning) will be used to develop algorithms that contribute to the creation of a model for "dynamic stress profiles." The research is grounded in
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coursework and GitHub repositories; Postdoctoral candidates must have extensive expertise in deep learning for medical image analysis. Compensation You will join a dynamic international research group; You
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analysis). As a part of the centrally located Data Stewardship Services team at the University Library, you will collaborate with fellow Data Stewards and with Research Software Engineers (RSEs) in helping
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and Ribo-seq data. Have experience with downstream data analysis and data visualisation. Are fluent with R and/or python and know how to work in an HPC environment (e.g., slurm). Other programming