Master's Thesis in Deep Learning Cancer Pathology

vor 2 Monaten


Heidelberg, Baden-Württemberg, Deutschland PAICON Vollzeit
About PAICON

We are a cutting-edge AI research and development company that puts healthcare first. Our mission is to push the boundaries of the healthcare and diagnostic sector by harnessing the power of machine learning and cloud computing.

Job Description

We are seeking a highly motivated and talented Master's student to join our team as a research assistant for a Master's thesis project. The successful candidate will have the 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
What We Offer
  • 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
  • A collaborative and innovative work environment

We are looking for a talented individual who is eager to learn, grow, and make a difference with and within PAICON. If you have the confidence to take on new challenges and the passion to drive innovation, we encourage you to apply.



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