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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 24 days ago
Engineering, Computer Science, or Bioengineering. Knowledge of image processing and image analysis, preferably applied to medical imaging (e.g., segmentation, feature extraction, geometric reconstruction
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in academic writing Possess good critical thinking skills Show strong initiative and take ownership of work Interest in AI, machine learning, image/audio processing
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environment; Proven experience in UAV (drone) operations for scientific purposes, including mission planning, data acquisition, and high-resolution aerial image processing; Experience in digital photogrammetry
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at the Department of Cell and Molecular Biology. The Elf group works across traditional disciplinary boundaries to explore life at the molecular level. We build physical models of key biological processes and develop
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imaging analyses using portable XRF or micro-XRF, to assess metal accumulation and spatial distribution in plant tissues. Carry out herbarium-based research and field sampling to identify and document metal
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analysis, model development and implementation, literature review, interpretation of results, and coordination of research activities. Key Responsibilities: Assist with data cleaning, management, processing
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new research collaboration with Ames Lab focused on studying the mechanisms of biomass degradation using multimodal imaging techniques. This position will specifically focus on the use of single-walled
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for generating high‑quality diagnostic images and enabling precise visualization of biological processes at the molecular level. Working in close collaboration with scientific partners, the project aims to refine
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reconstruction and processing. Candidates are expected to have a strong background in medical imaging, experience in imaging system evaluation, deep learning and clinical investigation. Brief Description of Duties
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this condition. You will evaluate their interactions using in vivo micro-CT, intravital imaging, spatial transcriptomics and molecular analysis techniques, identifying the key pathways governing this process