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A technology research firm in Cambridge is seeking a PhD-qualified software engineer to develop algorithms for 3D feature extraction from large image datasets. The role requires strong Python programming skills and excellent mathematical knowledge. The position offers a flexible work environment, training opportunities, and the potential for permanent employment after a 3-year contract.
This is a specialised role calling for a mathematically-minded PhD-qualified software engineer with strong algorithmic skills including image processing to extract 3D geometry.
Joining this research effort, you would develop algorithms and software to extract and track the evolution of 3D features from colossal quantities of image data. To succeed, you will need to be able to write robust and well-designed Python code, have a very good understanding of algorithmic approaches to extract and characterise 3D objects, cope well with extremely large data sets (TB), and have an inventive approach to problem solving.
This work will feed into broader research in the healthcare sector, and will therefore ultimately have a positive impact in society. The work environment is forward-looking and inclusive, and places an emphasis on employee development. Internal and external training is available for areas where skills need further enhancement.
You will need:
This role is based in modern well-equipped offices and labs in Cambridge. Initially, a 3-year fixed term contract, the role has potential to transition to a permanent position in the longer term. Flexible hours and hybrid working are available.
Keywords: Image processing, 3D, CNN, Python, Neural Network, Feature Extraction, Healthcare, Research, Cambridge
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