Imaging Science Internships

7 days ago


Oxford, United Kingdom Perspectum Full time

Join our dynamic R&D team and embark on an exciting journey to revolutionise healthcare with cutting-edge technology. We are currently offering **three** internship opportunities in our Imaging Science Department:
Other main duties across all three projects will include but are not limited to:

- Support with crafting and implementing techniques for quantitative measurement in digital images.
- Support with developing proofof-concept and prototype software.
- Writing technical documentation describing the methods developed and supporting the drafting of publications.
- Presenting findings and progress internally to the Imaging Science and wider R&D teams.

**About You**
- Currently studying for or possessing a bachelor’s degree in a mathematical, computational, or scientific discipline.
- Experience with programming, preferably in Python.
- Possibly some experience of machine learning tools and libraries (SciKit Learn, PyTorch, etc.).
- Able to work both independently and collaboratively as part of a team.
- Attention to detail and accuracy.
- Good logical problem solvingproblemsolving skills
- Proactive selfstarter with a drive for innovation.
- Strong communication skills, both written and verbal, suitable for engaging with stakeholders at all levels.
- Proficient in IT skills, including MS Office.
- Wellorganised with exceptional prioritisation skills.

We see our internships as a two-way street. While we are committed to fostering your growth and skills within our corporate environment, we also empower you to take ownership of your projects where you feel comfortable in doing so. To make this work, we simply ask that you are:

- Ready and willing to work from our Oxford office for a minimum of 3 days a week, as proximity is essential for collaboration.
- Have the capacity to work fulltime hours (37.5 hours per week) without requiring UK work sponsorship.
- Available to work for the entire 12month internship period (we are flexible on start dates)



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