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Postdoctoral Research Associate in Advanced Imaging Techniques

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London, Greater London, United Kingdom Imperial College London Full time

Position Overview: We are seeking a highly skilled and motivated Postdoctoral Research Associate to join our esteemed Smart Imaging Lab at Imperial College London. This role is pivotal in advancing quantitative MRI and PET imaging methodologies.

Project Scope: Supported by a range of prestigious funding bodies, including Horizon Europe and the UK Research and Innovation, the successful candidate will engage in cutting-edge projects that encompass:

  • Cardiovascular MRI for conditions such as atrial fibrillation and congenital heart disease.
  • CT and chest X-ray imaging for lung fibrosis.
  • Multimodal imaging applications in oncology.
  • Development of deep learning algorithms for medical image analysis, segmentation, classification, and reconstruction.

Research Objectives: The primary goal of this position is to enhance the efficiency and scalability of various MRI and PET techniques. This includes:

  • Improving early outcome prediction in clinical settings.
  • Empowering patients and citizens in their healthcare journeys.
  • Contributing to the overall capacity of health systems and accelerating research innovation.

Collaborative Opportunities: The role offers extensive collaboration with other researchers and PhD candidates, as well as national and international partnerships with leading research institutions and high-tech companies.

Candidate Requirements: Applicants must possess a PhD in a relevant field and demonstrate substantial laboratory experience. A strong background in machine learning is essential, with expertise in:

  • Diffusion models.
  • Generative adversarial models.
  • Deep learning applications in medical imaging.

The ideal candidate will also have a solid understanding of MRI pulse sequence programming and PET reconstruction techniques, evidenced by high-quality publications in peer-reviewed journals. Experience with Siemens pulse sequence programming and a robust knowledge of deep learning will be advantageous.

Skills and Attributes: Excellent verbal and written communication skills are crucial. The successful candidate should be adept at working collaboratively, managing their own workload with minimal supervision, and prioritizing tasks effectively to meet deadlines.

Benefits: This position offers a competitive salary and a comprehensive remuneration package, including generous annual leave.