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Field
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). Duties and Responsibilities Develop deep learning methods for complex geospatial and environmental problems. Develop geospatial foundation models using large-scale and heterogeneous geospatial data
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support scientific discovery and real-world applications. We now invite applications for the captioned post(s). Duties and Responsibilities Develop deep learning methods for complex geospatial and
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of the process, and understanding the science underpinning yield learning and manufacturability becomes of crucial importance. We are seeking a PhD researcher to develop a deep understanding of the epitaxial
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have a passion for the deep-sea and like join expeditions to the Arctic Ocean to explore how deep-sea life is connected to our climate? Do you enjoy working in an interdisciplinary research setting
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Do you have a passion for the deep-sea and like join expeditions to the Arctic Ocean to explore how deep-sea life is connected to our climate? Do you enjoy working in an interdisciplinary research
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, economics or any other field where evidence is provided of sufficient computing and mathematical background) solid experience of programming, machine learning methods and ideally deep learning environments
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of the offer. The ideal PhD candidate will have: A strong background in machine learning, deep learning, and software programming Proficiency in Python and machine learning frameworks such as PyTorch
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PhD. Be able to commence the Program in the year of the offer. The ideal PhD candidate will have: A strong background in machine learning, deep learning, and software programming Proficiency in Python
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advanced machine learning feature detection to enable evolving subsea scenes to be robustly aligned across repeat surveys. You will develop probabilistic models to detect subtle changes under noise and
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will work with deep learning, affective computing, multimodal signal processing, graph neural networks, hypernetworks, temporal modelling and responsible AI. Expected outputs include personalised