2 of 2 Image Processing Jobs in Cambridge

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. You will support equally … reasoning, intellectual curiosity, adaptability, drive and energy, along 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 use of machine learning, neural … data involved, 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. Whereas statistical approaches are not required. This role will initially be a fixed term contract for 3+ years More ❯

Image analysis, machine learning and quantitative computational modelling circa £42k+ with top benefits A prestigious research centre is seeking a talented developer with expertise in image analysis and machine learning to bring their skills to bear on cutting edge research. There is flexibility towards either a purely engineering or research role. You will work on a range of … projects relating to image analysis in the life sciences, to advance the state of the art. The team use a variety of evolving and experimental image processing and machine learning techniques, starting from modelling in tools including MATLAB through to development of image analysis (2D, 3D and 4D) and machine learning software in Python. Datasets are … Team working and an interest in working alongside researchers with diverse backgrounds. Adaptability given rapidly evolving techniques. Strong algorithm development and software engineering ability, particularly around computational modelling for image analysis, image processing and/or machine learning (ideally CNNs for volumetric data). Increasingly, software architecture is a consideration. Python, TensorFlow, Keras, PyLattice or similar technologies More ❯