Master Thesis in Deep Learning Cancer Pathology

vor 6 Monaten

Heidelberg, Deutschland PAICON Vollzeit

At PAICON we put healthcare first. We want to push the boundaries of the healthcare and diagnostic sector by harnessing the power of machine learning and cloud computing. We believe that digital health solutions will truly be an entirely new way to empower doctors and patients. That will be the key force behind the transformation of healthcare. We are excited to build on our vision with our enthusiastic team- which is the core of our company.

We are a startup where everyone has a place to put ideas on the table. Our PAICON mantra is to have fun while you “grow” with our company In PAICON, “growth” | sparks with curiosity & passion | starts with initiative & innovation | prospers with teamwork & communication.

Tasks

You are a highly motivated and talented Master's student looking for an exciting thesis project? We are eager to supervise and support your Master's thesis in 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.

Conduct research on novel neural network architectures and their implementation in practice

Master’s Thesis Topic

Integration of experimental model features into advanced encoder architectures for application in cancer pathology

  • 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

Shape with us the future of healthcare with Deep Learning.

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 us for a drink and spend quality time with the team – we believe innovative ideas are crafted best with joint efforts

We are continuously expanding our benefits as we grow to ensure an environment where our team feels comfortable and excited to disrupt the healthcare and AI world. As long as you have the eagerness to learn, grow and have the confidence that you can a make difference with and within PAICON we would be happy to hear from you even if you do not meet 100% of the requirements

We are looking forward to getting to know you

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