Overview
3D image analysis, life sciences / bio, machine learning, CNNs. Cutting-edge researchers need the support of a PhD-qualified computer scientist with a specialty in image analysis, to work on 3D / 4D (space and time) datasets in the life sciences, using a combination of image processing and machine learning techniques.
Responsibilities
* Work on 3D/4D (space and time) datasets in the life sciences using image processing and machine learning techniques.
* Support equally qualified colleagues with a life sciences background, contributing strong Python skills to advance the state of a growing software platform used by a global scientific audience.
Qualifications
* A relevant PhD, most likely in computer science, backed by a good technical degree and strong A-levels.
* Creativity and reasoning, intellectual curiosity, adaptability, drive and energy, with an interest in working alongside researchers with diverse backgrounds.
* Strong software engineering and algorithm development skills in Python, including advanced image processing for 3D datasets, and ideally interpretation of biological (not medical) data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar.
* Ideally experience with machine learning and neural networks, particularly CNNs, for feature extraction and tracking.
* Familiarity with computer vision, cellular imaging, volumetric tiling, voxel imaging, 3D graphics (rendering), spherical harmonics (3D or 4D hyperspherical), light-sheet microscopy, particle image velocimetry (PIV), EFM and/or similar areas would be beneficial. Statistical approaches are not required.
Contract and Location
This role will initially be a fixed term contract for 3+ years, with the potential to become a permanent position at that time.
Benefits and How to Apply
Salary is competitive and benefits are excellent. Flexible hours and hybrid working are available.
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