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The Department of Geosciences and Natural Resource Management invites applications for a 3-year full time postdoctoral position on the development and application of models, to simulate
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. This position is best suited to those who enjoy statistics, coding, manipulating and visualizing data, and other quantitative analysis tasks. Work Performed The new researcher will leverage knowledge and skills
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team on how abstract neural representations enable flexible human decision-making, and the postdoc will work closely with the PhD student on shared tasks, models and analysis pipelines. The position
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modelling of electrochemical systems, together with experience in machine learning and data-driven modelling. Research Associate: Hold a PhD in Aerospace Engineering, Chemistry, or a related discipline, or
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approaches. Experience with tabular foundation models or foundation models for structured data is particularly relevant to this position. Key qualifications include: Strong research experience in deep learning
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A Postdoctoral Research Associate position is available in the laboratory of Basavaraju G. Sanganahalli, PhD, Assistant Professor of Radiology and Biomedical Imaging to work on a newly funded NIH
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Commensurate with Experience Type of Position Temporary Position Time Status Full-Time Required Education PhD in neuroscience, pharmacology, or equivalent field. Required Related Experience Competitive
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are not fully integrated into the exploration of subsurface exploration workflows due to data resolution limitations and challenges in modeling. This knowledge gap limits our understanding of resource
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at the interface of macroecology, biodiversity modelling, global-change ecology and restoration science. Your profile Applicants must hold a PhD or have submitted a PhD thesis before the starting date, in ecology
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, and the development of new model architectures or learning approaches. Experience with tabular foundation models or foundation models for structured data is particularly relevant to this position. Key