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You should be a creative and enthusiastic researcher with a PhD degree in a relevant field, such as medical image analysis, computer vision, or machine learning. You should have a clear interest to develop image analysis algorithms and an affinity with oncology or medical topics. Good communication skills and expertise in software development, preferably in Python, are essential. Previous experience with (co-)supervision of junior researchers such as PhD students, as well as experience with graph neural networks and foundation models is a plus.
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## Organisation
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The [Computational Pathology Group](https://www.computationalpathologygroup.eu/) is a research group of the department of Pathology of the [Radboud University Medical Center (Radboudumc)](https://www.radboudumc.nl). We are also part of the cross-departmental [Diagnostic Image Analysis Group (DIAG)](https://www.diagnijmegen.nl) at Radboudumc, with researchers in other departments, such as [Radiology and Nuclear Medicine](https://www.radboudumc.nl/afdelingen/radiologie-en-nucleaire-geneeskunde), [Cardiology](), [Radiotherapy]() and [Pathology](https://www.radboudumc.nl/afdelingen/pathologie).
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The [Computational Pathology Group](https://www.computationalpathologygroup.eu/) is a research group of the department of Pathology of the [Radboud University Medical Center (Radboudumc)](https://www.radboudumc.nl). We are also part of the cross-departmental [Diagnostic Image Analysis Group (DIAG)](https://www.diagnijmegen.nl) at Radboudumc, with researchers in other departments, such as [Radiology and Nuclear Medicine](https://www.radboudumc.nl/afdelingen/radiologie-en-nucleaire-geneeskunde), [Cardiology](https://www.radboudumc.nl/en/research/departments/cardiology), [Radiotherapy](https://www.radboudumc.nl/en/research/departments/radiotherapy) and [Pathology](https://www.radboudumc.nl/afdelingen/pathologie).
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We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided diagnosis (CAD). Application areas include diagnostics and prognostics of breast, colon, prostate and lung cancer. Our group is among the international front runners in the field, witnessed for instance by the highly successful [Camelyon](https://camelyon16.grand-challenge.org/), [Panda](https://panda.grand-challenge.org/) and [Tiger](https://tiger.grand-challenge.org/) grand challenges which we organized.
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The postdoc will work in close collaboration with (inter)national project partners. Specifically for the first position, this is a close collaboration with the [Biomedical Photonics and Medical Imaging](https://vu.nl/en/about-vu/more-about/biophotonics-medical-imaging2) group at the [Vrije Universiteit](https://vu.nl/nl) (VU), the [Amsterdam University Medical Center](https://www.amc.nl/web/home.htm) (AmsterdamUMC) and the company [FlashPathology BV](), spin-off of the VU that has built the label-free microscopy device based on higher harmonic generation technology (with one prototype available at Radboudumc).
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In the second project we collaborate with [Dutch Cancer Institute](https://www.nki.nl) (NKI) Amsterdam, our spinoff [Aiosyn]() as well as a range of international academic partners (Europe and US).
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The postdoc will work in close collaboration with (inter)national project partners. Specifically for the first position, this is a close collaboration with the [Biomedical Photonics and Medical Imaging](https://vu.nl/en/about-vu/more-about/biophotonics-medical-imaging2) group at the [Vrije Universiteit](https://vu.nl/nl) (VU), the [Amsterdam University Medical Center](https://www.amc.nl/web/home.htm) (AmsterdamUMC) and the company [FlashPathology BV](https://flashpathology.com), spin-off of the VU that has built the label-free microscopy device based on higher harmonic generation technology (with one prototype available at Radboudumc).
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In the second project we collaborate with [Dutch Cancer Institute](https://www.nki.nl) (NKI) Amsterdam, our spinoff [Aiosyn](https://www.aiosyn.com) as well as a range of international academic partners (Europe and US).
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Radboudumc strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. This is the core of our mission: To have a significant impact on healthcare. To get a better picture of what this entails, check out our [strategy](https://www.radboudumc.nl/en/about-radboudumc/our-strategy).
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## Application
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If you are interested, please apply before 5 June 2025 via the following [link](https://www.radboudumc.nl/en/vacancies/156242-postdoctoral-researchers-in-two-projects-on-computational-pathology).
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Tentative aate first interview: In week 24 (9-13 June 2025)
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Tentative date first interview: In week 24 (9-13 June 2025)
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