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deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing
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point to sites of potential malformation (even before they form). The RA on this project would be required to develop and train novel AI algorithms for extracting surface models of the fetal cortex and
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bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms Downloading a copy of our Job Description Full
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. Ability to translate research requirements into software solutions. Desirable criteria Experience with IoT sensor integration. Knowledge of digital phenotyping. Familiarity with cloud platforms and
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-disciplinary research environment Desirable criteria 1. Experience in devising and developing novel machine learning algorithms 2. Hands on experience with ROS and physical robots 3. Excellent
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machine learning or AI methods in healthcare research, particularly within digital trials or real-world data studies. Expertise in analysing complex digital health data, including wearable sensor data