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The Bernhard Nocht Institute for Tropical Medicine (https://www.bnitm.de/en/ ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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biology, biological data science, multi-omics, imaging, modelling, and AI-driven approaches PhD candidates will benefit from: Access to state-of-the-art experimental and computational platforms Strong
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, preferably MRI. Experience with tumor segmentation, radiomics, or deep learning–based image processing is expected. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is required
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. The Cancer Research UK-Scotland Institute has access to instrumentation in the Scottish Centre for Macromolecular Imaging (SCMI) https://www.gla.ac.uk/research/az/cvr/facilities/scmi/, such as the JEOL CRYO
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). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
cycles. Understanding these complex interactions requires measurements that go beyond traditional multi-spectral imaging. Imaging spectroscopy—capturing the full contiguous spectrum from the Visible
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Technology » Nanotechnology Technology » Measurement technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Mar 2026 - 00:00 (Europe/Berlin) Country Germany
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automation integration and deployment of image segmentation algorithms for the automated assessment of thin-film solar cell fabrication processes (e.g. layer quality, defects, morphology) within NOMAD Oasis
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advanced phenotyping, imaging technologies, AI-based analyses, and digital twins. The PhD candidate will work on spring wheat genotypes adapted to Norwegian and northern European growing conditions
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Eligibility criteria PhD in Applied Physics, Optics, Biomedical Imaging, or a related field; Strong expertise in experimental optics and optical instrumentation; Proficiency in image processing and data