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Vacancies & Student projects

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

PhD position for Predictive Modeling in the Intensive Care Unit

PhD position for AI-driven genetic diagnosis for rare-diseases

PhD position for developing a decision support tool for patients with chronic lower back pain

PhD position for building multi-modal interactive health records

Postdoctoral Researcher for Deep Learning in Computational Pathology

Research Software Engineer in Digital Pathology

Research Software Engineer - Infrastructure

PhD position for unraveling mechanisms of vascular function and regulation with causal discovery

PhD position for development and validation of a deep-learning system for wisdom tooth removal

Student projects

AI-Designed 3D prothesis for 3D Printing in third world countries

Three dimensional landmark detection in 3D CT-Scans and 3D Photos

AI steered interventional MRI

Individualised endometrial cancer risk stratification by Bayesian prediction model (ENDORISK), optimizing the model for clinical implementation

Identification of drug repurposing candidates for myotonic dystrophy by Graph Convolutional Networks

Identification of drug repurposing candidates for myotonic dystrophy by Graph Convolutional Networks

Progression of white matter hyperintensities in CSVD

Automated AAA detection on CT scans

Predicting treatment for Addictive Behaviors in Clinical practice (PreT-ABC)

Artificial intelligence-assisted detection of adhesions on cine-MRI

Artificial intelligence-assisted detection of adhesions on cine MRI

Prediction of bladder filling during radiotherapy treatment

AI-based quantification of non-alcoholic steatohepatitis

Automated detection of cranial arteriovenous shunts in 4D-CTA

Objective home-based bradykinesia assessment in Parkinson’s disease

Automated analysis of intracoronary OCT images for patients with acute myocardial infarction

Improving detection of COVID-19 classification with CT scans

Automated COVID-19 classification using ultrasound

Developing deep learning algorithm for de novo variants detection in Pacbio long-read sequencing data

AI to analyze lung cancer histology images

Automated landmark detection on lateral headplates for orthodontic diagnosis

Quantitative facial phenotyping of patients with intellectual disability

Interventional reconstruction AI for real-time needle tracking in MRI

Fetal heart rate detection in twin pregnancies

Using big data to improve diagnosis in general practice

Quantification of immunohistochemical markers for improved prostate cancer prognostics

Deep behavioral phenotyping of mosquito biting behavior

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

Detecting and characterizing vertebral fractures in CT scans

Identification of features in benign breast disease biopsies that predict breast cancer risk

Screening for neuromuscular disorders using automatic classification of muscle ultrasound images

Deep learning for automatic pancreatic cancer detection on magnetic resonance images

Deep placental vessel segmentation and registration for fetal laser surgery

Pneumothorax detection

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

Automated prenatal ultrasound screening

Domain Generalization for Prostate Cancer Detection in MRI

Extending a prostate cancer grading algorithm to other surgical entities

Automated clinical scoring in psoriasis based on RGB images

Automatic segmentation of subsolid pulmonary nodules using deep learning

Self-supervised pretraining for digital pathology

Improving efficiency and accuracy of skin cancer diagnostics through implementation of ‘deep learning’-based tissue analysis

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

Towards stain invariant CNNs for computational pathology

Deep Learning for automatic stroma classification and quantification in pancreatic H&E stained whole-slide-images

Automatic classification and segmentation of subsolid pulmonary nodules using deep learning

Three dimensional oral and maxillofacial surgical outcome prediction

Machine Learning in Acute Care: Liver

Machine Learning in Acute Care: Spleen