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Image Processing Internship

Location Brno, Czechia Job Id R-01272549 Job Type Part time Category Students & Internships Remote Fully Onsite

At Thermo Fisher Scientific, you’ll discover an environment that encourages your continual professional development, and you’ll have the opportunity to do work that has an impact – because every day, you’ll be contributing to our Mission - to enable our customers make the world healthier, cleaner and safer. Thermo Fisher Scientific offers best-in-class Internships and Leadership Development Programs that provide students & new grads with hands-on learning, meaningful project work, and unparalleled growth and networking opportunities.
JOB DESCRIPTION

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Adherence to all Good Manufacturing Practices (GMP) Safety Standards

Job Description

Job Description

We are seeking a motivated intern with a background in signal and image processing, computer vision, and machine learning to enhance the capabilities of our hardware. This role involves conducting research and development in image processing for scanning electron microscopy, focusing on designing algorithms to improve image quality, automation, throughput, and robustness of our system.

Key Responsibilities

  • Collaborate with team members to design software solutions that enhance image quality, automation, throughput, and robustness through signal and image processing techniques.
  • Work with the team to integrate the developed algorithms into target platforms.
  • Conduct research in the field of image processing specifically for scanning electron microscopy.
  • Assist in data acquisition, processing, and annotation.

Qualifications

  • Minimum of one year of experience in image processing and computer vision, gained through academic projects, thesis work, or professional experience.
  • Proficiency in Python and OpenCV.
  • Knowledge of machine learning is an advantage.

If you are passionate about leveraging your skills in signal and image processing to drive innovation and improve performance of our systems, we encourage you to apply.

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