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civil society. Upholding best practice in research conduct, ethics, and data management. Person Specification You will hold (or be very close to completing) a PhD in a relevant field such as sound studies
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of D4H activities, including seminars, symposia, and public engagement For further information about this position, please contact: Your profile PhD in History, Digital Humanities, Data Science, or a
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Vision, Robotics, Evolutionary Computation, Deep Reinforcement Learning, and Machine Learning. This should include a proven publication track record. You should also have: Research Associate: A PhD (or
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consisting of four faculty, two PDRAs, five PhD students, two Masters’ students and a varying number of undergraduates. Depending on interest, there may be opportunities to become involved in other projects
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learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view
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Number: 170516 Minimum Education and Experience: Qualified candidates are required to have a PhD or an equivalent doctoral degree and experience in neuroscience, neurotoxicology, epigenetics, or other
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Qualifications PhD in the field of Planetary Science, Astronomy, Geoscience, or a related discipline by the start date of the position. Experience with numerical modeling and programming. Experience with modelling
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at PESD are available at PESD Director, Frank A. Wolak’s web-site: https://fawolak.org/pages/papers (link is external) . Required Qualifications: PhD in relevant subject area Expertise in large scale
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of behavior. Required Qualifications: a PhD (must be conferred before appointment start date) research experience in a related field at least one peer reviewed scientific publication able to collaborate in
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Williams research and group here About you Applicants must hold a PhD in Polymerization catalysis (or be close to completion) prior to taking up the appointment. The research requires experience in carbon