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assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in
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models for prediction and recommendation Job Requirements: Preferably PhD in Computer Science or related field. Expertise in computer programming Knowledge in machine learning Proven research ability as
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studies, animal models, organisation and management of research data, and integration of results across multiple study components. The successful candidate will contribute to data analysis, interpretation
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, data analysis and evaluation, library research, and reporting of findings. About you The successful candidate should hold or be about to receive a PhD in Physics, Chemistry, Functional Materials
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the assembly, management, and analysis of complex datasets, including the application of machine learning techniques to develop a range of models such as predictive and image-recognition models. A key aspect of
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microscopy, as well as experience in the interpretation of experimental data for advanced crystal structure determination, such as Rietveld refinement or pair distribution function analysis. We are open to
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to classify communicative frames, linguistic features and influencer styles at scale. Contributing to annotation, validation, survey experiment analysis, reproducible code, academic outputs and stakeholder
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algorithms, representation and learning of data and dynamical systems, geometric deep learning, topological and algebraic data analysis, optimization on manifolds, and operator- and PDE-based approaches
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how bespoke surveys, standardised data sets, advanced quantitative analysis, and qualitative data can inform government policy and decision making in the marine environment, while building capacity
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through cutting-edge research. We are seeking a highly motivated Postdoctoral Fellow to join the laboratory of Andrea H. Bild, PhD , Professor in the Department of Medical Oncology & Therapeutics Research