Master's Thesis in Deep Learning Cancer Pathology

vor 4 Wochen

Heidelberg, Baden-Württemberg, Deutschland PAICON Vollzeit
Transforming Healthcare with AI

At PAICON, we're pushing the boundaries of healthcare and diagnostics by harnessing the power of machine learning and cloud computing. Our vision is to empower doctors and patients with digital health solutions that will revolutionize the industry.

Research Opportunity

We're seeking a highly motivated and talented Master's student to join our cutting-edge AI research and development team. This is a unique opportunity to delve into deep learning and machine learning architecture development, with direct applications in image processing and computer vision, specifically within the field of cancer pathology.

Key Responsibilities
  • Conduct research on novel neural network architectures and their implementation in practice
  • Develop and test deep learning models for image processing in the field of pathology
  • Analyze and interpret data to evaluate the performance of developed models
  • Collaborate with a multidisciplinary team to integrate new algorithms into existing systems
  • Document research findings and contribute to the preparation of publications
Requirements
  • Bachelor's degree in Computer Science, Applied Mathematics, Biostatistics, or a related field
  • Currently enrolled in a Master's program and looking for an innovative industry Master's Thesis
  • Strong interest in deep learning (DL) architecture development and image processing/computer vision in the field of medicine
  • Excellent analytical and mathematical skills
  • Proficiency with Python and Deep Learning frameworks such as PyTorch
  • First touch points with Unix bases systems, cloud computing resources and/or high-performance computer systems
  • Initiative, strong interpersonal skills, and the ability to work effectively both independently and in a collaborative, multidisciplinary team environment
Benefits
  • Gain hands-on experience in a cutting-edge field with direct applications in pathology
  • Work with a dynamic and supportive team of experts
  • Access to advanced computational resources and tools
  • Potential for your work to be published and contribute to the scientific community
  • Join a company that values innovation, teamwork, and growth

We're excited to build on our vision with our enthusiastic team and are looking forward to getting to know you.

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