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- Delft University of Technology (TU Delft); 3 Oct ’25 published
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areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics Familiarity with
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Microfluidics and lateral flow assay engineering Translational diagnostics and AMR-focused assay development Digital image analysis and Python-based data processing The project includes opportunities
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guidance and robotics. Our work combines medical imaging, computer vision, and machine learning with strong clinical translation, in close collaboration with Balgrist University Hospital and the national
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adaptive image and schema descriptions for digitized books and collections of the National Library of the Netherlands (KB) for blind and visually impaired readers. Background Around 25% of the Dutch
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). • Experience in data preparation, machine learning • Experience in processing 3D medical imaging. • Keen interest in cardiology and medical imaging. • Good command of the English language. • Ability
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, you will have experience with acquisition and processing of tomographic images, rock mechanics, machine learning and/or numerical modelling. Given the highly diverse nature of the research groups
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us in unravelling the complexities of the brain by cryo-EM/ET imaging
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animal stories that later morphed into the medieval Bestiary. The project employs various computational methods in intelligent imaging, text processing and metadata federation to understand how
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by missed cancers and false positives. To address limitations, we have developed a prototype DBTMI system. DBTMI stands for "simultaneous digital breast tomosynthesis (DBT) and "mechanical imaging" (MI
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stress analysis, manufacturing, hands-on oriented, digital image correlation, Abaqus, scripting How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and a 300-word statement