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Vacancies

We always welcome applications from strong candidates. Feel free to send your CV to a staff member if you are interested to join DIAG. If you consider applying please read this general information about doing a PhD at DIAG.

Open vacancies

There are no vacancies at the moment.

Student projects

We welcome good master's and bachelor's students to perform academic research in our group. We offer various projects that can be tuned to match your thesis requirements. You can also browse through our research pages to read about the different research topics of our group.

Closed vacancies

The positions below are closed, please do not apply. They are listed to give you an idea of the kind of positions we regularly offer.

Vacancies

Postdoc Artificial Intelligence for Improving Toxicological Pathology

Data Manager Computational Pathology Group

Postdoctoral Researcher in Computational Pathology

PhD position on Multi-modal AI for detection and segmentation of metastatic cancer

PhD Position: AI-Based Opportunistic Screening of Pancreatic Cancer Using CT Scans

Improving prenatal screening in developing countries with AI-powered handheld ultrasound

PhD candidate 'Promoting responsible AI: Bridging AI and clinical practice for real-time image analysis during cardiac procedures'

PostDoc position on multimodal AI for urologic cancer

PhD position on artificial intelligence in healthcare

PhD candidate in MERAI Lab - Artificial intelligence for analysis of lung cancer screening CT scans

PhD candidate in MERAI Lab - Artificial intelligence for analysis of lung cancer screening CT scans

PhD candidate in Ethical, legal & societal aspects of automated screening of lung CT scans

PhD student: Validation and Implementation of Commercially Available Artificial Intelligence Solutions in Healthcare

PhD candidate AI-IMAGINE 'AI for first-time right treatment liver tumors'

PhD candidate ‘AI-based grading of cancer for improved assessment of patient prognosis’

Clinical PhD position on using novel artificial intelligence technology for accurate malignancy risk estimation of incidentally and screen-detected pulmonary nodules

PhD position on developing artificial intelligence algorithms for accurate malignancy risk estimation of incidentally and screen-detected pulmonary nodules

PhD candidate ‘Bridging the gap between AI development and clinical practice for histopathological skin cancer diagnostics’

PhD candidate ‘Development of explainable AI methods for end-to-end-learning with gigapixel images in the BigPicture consortium’

PhD candidate for Computational Pathology Research

Deep learning for oncologic CT imaging

Deep learning diagnostic and interventional prostate MRI reconstruction and steering

PhD position on artificial intelligence for digital pathology and genetics in the gut microbiome

Two PhD positions for artificial intelligence for analysis of prostate MRI

PhD Candidate for AI-based prostate cancer assessment at CWZ and Radboudumc

PhD candidate to assess the value of Artificial Intelligence for Breast Cancer Screening

PhD candidate in 'AI-driven tumor detection in combined MRI-Radiotherapy’

PhD position on using artificial intelligence for improving the efficiency of lung cancer screening

Crossing the boundaries: machine learning for pancreatic cancer across radiology, pathology and genetics (PANCAIM)

PhD candidate ‘Improving care for prostate cancer patient through AI-driven radiology/pathology fusion’

Closing the gap: Implementation of AI-based breast and prostate cancer grading algorithms in clinical practice

PhD position on AI-assisted Prostate Ultrasound

PhD position for Extraction of imaging biomarkers for AMD with Deep Learning

Deep learning for Prostate MRI Surveillance

PhD candidate 'Towards a virtual pathologist via multi-modal foundation models for computational pathology'

PhD candidate 'Artificial Intelligence to improve detection and treatment of endometrial cancer via computational pathology'

Postdoc Computational Pathology research

Postdoc 'Deep learning in digital gastrointestinal pathology'

Postdoc 'Deep learning to improve pathology diagnostics'

Postdoctoral Researcher for Deep Learning in Computational Pathology

PhD position on deep-learning-based image registration

Research Software Engineer in Digital Pathology

Research Software Engineer - Infrastructure

Research Software Engineer

PhD positions in four new AI labs for artificial intelligence in healthcare

Student assistant Computational Pathology

Postdoctoral researchers in two projects on computational pathology

Student projects

AI steered interventional MRI

Automating the R.E.N.A.L. score in patients with a renal cell carcinoma

Leveraging Weak Annotations in AI-based Metastasis Detection from CT Images

Progression of white matter hyperintensities in CSVD

Automated AAA detection on CT scans

AI-Based Bounding Box Prediction of Lung Tumors in CT imaging

Artificial intelligence-assisted detection of adhesions on cine MRI

Investigating the surge of commercial AI marketplaces for radiology

Prediction of bladder filling during radiotherapy treatment

AI-based quantification of non-alcoholic steatohepatitis

Automatic nodal staging in lung cancer patients with PET/CT imaging

Automated detection of cranial arteriovenous shunts in 4D-CTA

Improving detection of COVID-19 classification with CT scans

Automated COVID-19 classification using ultrasound

Deep Learning to detect artifacts in whole slide images

Deep Learning for the differentiation of STIC lesions

AI to analyze lung cancer histology images

Deep learning for fully automated detection of enlarged lymph nodes in thoracic CT

Retrospective Evaluation of AI Stability for Lung Cancer Detection

Automated landmark detection on lateral headplates for orthodontic diagnosis

Quantitative facial phenotyping of patients with intellectual disability

Lung Lobe Segmentation in CT imaging

Advancing Macrophage Biomarkers for Improved Immunotherapy Response Prediction

Automation of cytology-to-diagnosis using a smartphone

Artificial Intelligence-Based Analysis of Patient-Specific Characteristics in Human Bone Histology

Artificial Intelligence-Based Quantification of Spatial Organization in Human Bone Histology

Peritubular Capillary Segmentation in Kidney Transplant Biopsies

Tissue Segmentation in Kidney Transplant Biopsies

Muscle and fat segmentation in 3D CT images for body composition assessment

MSc+PhD vacancy for body composition assessment in 3D CT and MR images

Artificial intelligence to integrate histopathological images and transcriptomics

Artificial Intelligence-Based Segmentation of Mononuclear Cell Infiltrates in Preclinical Toxicologic Pathology

Artificial Intelligence-Based Liver Hypertrophy Detection in Drug Safety Studies

Detecting and characterizing vertebral fractures in CT scans

Automated detection of DRESS syndrome

Predict neoadjuvant chemotherapy response in breast cancer histopathology from a panel of immunohistochemical markers

Combining pathological features to predict pancreatic ductal adenocarcinoma survival

Screening for neuromuscular disorders using automatic classification of muscle ultrasound images

Deep learning for fully automated classification of pulmonary nodules

Improving PD-L1 digital pathology image analysis

Pneumothorax detection

Automated prenatal ultrasound screening

Automated whole-slide image analysis and quality control

Automatic segmentation and identification of the vertebrae in CT scans of patients with spinal deformities

T&T: When TILs meet TLS in NSCLC

Machine Learning in Acute Care: Liver

Machine Learning in Acute Care: Spleen