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interdisciplinary team with clinicians and engineers; You have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and
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, integrate device engineering with clinical workflows, and apply artificial intelligence and machine learning for automated image and signal analysis, tissue classification, and real-time diagnostics
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If you want to pursue a research career at the intersection of additive manufacturing (AM), microstructural engineering and advanced statistical/machine-learning (ML) based modelling, then this PhD
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, Bioinformatics, Physics, or a related field. A strong background in image processing and image data analysis. English proficiency Preferred PhD in Biology, Bioengineering, Computer Science, Bioinformatics, or a
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | about 24 hours ago
in medical image processing, including segmentation, registration, and quantitative analysis of images (CT, MRI, or echocardiography), as well as the use of common scientific libraries (NumPy, SciPy
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8 Apr 2026 Job Information Organisation/Company Slovak University of Agriculture in Nitra Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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the mechanosensitive processes and the mechanical properties of tissues that drive tumor malignancy and anti‑tumoral immune responses. This multidisciplinary project will combine: Biophysical techniques and image
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: • PhD in Biological Science, Physics, or a related field. • Minimum of four years of dedicated experience in wide-field and confocal microscopy. • Solid background in applying a wide range of imaging and
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radiological data, such as MR, CT and pathological images. Required Qualifications* The ideal candidate will have: A PhD degree in computer science, electrical or biomedical engineering, or medical physics
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at the Very Large Telescope in Chile to test the algorithm with the SPHERE+ instrument. Activités The PhD will employ a combination of simulation and experimental validation: • Imaging processing and control