Department of Quantitative BiomedicineOpen OpportunitiesDo you want to combine statistics, machine learning (ML), and artificial intelligence (AI) algorithms with important medical applications? Are you motivated to work with interesting real-world data and excited to implement and apply machine learning algorithms to produce personalized decision support tools? - Biology, Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences
- Lab Practice, Master Thesis, Semester Project
| Digital tools, including smartphone apps and conversational agents, hold great promise for enhancing cancer supportive care. These apps can measure patients' symptoms, offering personalized advice on supportive care interventions (e.g., physiotherapy, psychologist, nutritionist) and improving access to such services for cancer patients. Despite the effectiveness of digital health interventions, there is currently a gap in automatic conversational agents that assess symptoms and provide advice on supportive care treatment for cancer patients. This project aims to evaluate the potential of Large Language Models in creating a conversational agent capable of assessing symptoms in cancer patients and offering personalized advice on cancer supportive care. - Behavioural and Cognitive Sciences, Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences
- Lab Practice, Master Thesis, Semester Project
| Are you fascinated by the untapped potential of wearables and smartphone apps in revolutionising the way we manage and treat chronic conditions? This project offers an unparalleled opportunity to dive deep into the world of digital health, exploring how mobile technologies can enhance remote assessment and deliver impactful interventions for conditions ranging from mental health to heart disease, and beyond. - Behavioural and Cognitive Sciences, Medical and Health Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| We are currently looking for Master students in the field of Bioinformatics or Computational Biology for the analysis of cell-free DNA sequencing data. We have several topics which students can apply for depending on their previous expertise and proposed duration of the project (3 months or longer). - Medical Biochemistry: Nucleic Acids, Sequencing and Genomics
- Internship, Lab Practice, Master Thesis, Semester Project
| In this master's thesis project, we are looking for a candidate to apply machine learning techniques to correct and predict signals of incomplete CT perfusion imaging for ischemic stroke. We hope to use machine learning techniques to de-noise and correct for the truncation in CT perfusion signals. In particular, we aim to infer the true attenuation curve after the truncation time-point. - Artificial Intelligence and Signal and Image Processing, Central Nervous System, Radiology and Organ Imaging
- Master Thesis
| This is a clinical image registration and visualization project that tries to map a zoomed-in CT view with a zoomed-out MR modality. The CT view can see very detailed blood vessels and bones, while the MR view sees the soft brain tissues but without vessels. The clinicians want to register them together automatically, as they are currently aligning the two views by hand manually and takes them a lot of time. The outcome of this project is an automated, fast, and accurate image co-registration software that can be deployed in the hospital to improve clinical care. - Information, Computing and Communication Sciences, Medical and Health Sciences
- Internship, Master Thesis, Semester Project
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