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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
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learning domains. About you You will have a PhD in an experimental discipline (or equivalent qualifications and experience), ideally with experience in fibre optics and low-noise lasers and optical
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, we welcome applications from candidates with a PhD (or equivalent) in Artificial Intelligence/Machine Learning, or climate science with substantial experience applying advanced AI methods to climate
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-quality academic publications, policy-relevant outputs, and stakeholder engagement activities. About you You will hold a completed PhD in ecology, conservation biology, environmental science, environmental
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to Dr Duo Chan. About You Given the interdisciplinary nature of the post, we welcome applications from candidates with a PhD (or equivalent) in Artificial Intelligence/Machine Learning, or climate science
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the fibre laser and deep learning domains. About you You will have a PhD in an experimental discipline or equivalent experience, ideally with experience in fibre optics and low-noise lasers and optical
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expecting to have, a PhD in control systems engineering or a closely related field, ideally in adaptive control, robust control or similar; or equivalent industrial experience. Since the work is concentrated
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An exciting opportunity is available for a talented researcher to join a successful team in Primary Care Research Centre/Clinical Experimental Sciences to develop an e-learning tool for clinicians
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to conferences during the project duration. It is desirable that the person has experience in designing and testing ion thruster technology, or a demonstrated aptitude for learning new fields of research