1,866 data-"https:"-"https:"-"https:"-"https:"-"Rice-University" Postdoctoral positions
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with this group to evaluate AERIS at S2S scales, couple ocean component to the model, data assimilation and regional refinement. In particular, this position will utilize generative AI to create a
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PDRA will contribute to the development of a database of high-resolution equity indicators and apply cutting-edge GeoAI and spatial data science techniques to model and classify population health risk
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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experience of undertaking action research and utilising appropriate data collection tools. It is also desirable that the candidate has knowledge of the education system and working with teachers
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. However, progress is constrained by the scarcity of high-quality, well-characterized in vitro T-cell immunogenicity data. In this project, we will leverage expertise and technology in peptide T-cell
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on behavioural data. In addition to research, you will contribute to teaching (20%), providing opportunities for professional development. Your qualities We are looking for an enthusiastic new colleague who meets
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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data
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topics in astrophysics and cosmology using LIGO-Virgo data. This includes searches for compact binary coalescence events and determining their mass/spin spectrum, and for primordial black holes and axion
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, Quantum Information and Quantum Simulation. The successful candidate will be expected to pursue an active research program in particle theory to strengthen and complement current research efforts in
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: FAES | Food