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Field
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(for Research Engineer) with expertise in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, Robotics, or a closely related field. Experience in developing, training, validating and
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through cutting-edge research. The Nath Laboratory is seeking highly motivated applicants for a postdoctoral position in computational oncology and data science. Our research program aims to advance
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programme with interdisciplinary links across genomics, metabolomics, advanced medical imaging, preclinical modelling/drug delivery, and mathematical modelling. You will be joining a diverse and supportive
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, bioRxiv 2026, doi: 10.64898/2026.07.30.741759) for biological systems. You will lead a computational research project extending DMMSs from population-level to single-cell data, combining neural networks
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equipment or related technologies artificial intelligence, machine learning, image analytics, computer vision or related computational approaches applied to healthcare research (desirable) a peer-reviewed
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23 Sep 2026 Job Information Organisation/Company Naturalis Research Field Biological sciences » Biodiversity Biological sciences » Botany Computer science » Programming Researcher Profile Recognised
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Requirements: Candidates should hold a PhD in civil engineering, computer science, electrical/computer engineering, robotics, or a related field. Experience in computer vision, deep learning, 3D reconstruction
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cognitive impairment. The project combines in vivo disease models with advanced cellular and molecular approaches, including electrophysiology, high-resolution imaging, molecular biology and ultrastructural
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literature review on NQR technology, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development
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. For NeuroAI focus: Analyze high-dimensional brain data, document results and carry out an independent research project. For NeuroAI focus: Develop and apply new machine learning and computer vision methods