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complex environments. Specifically, we are looking for Postdoctoral scientists to perform microscopy-based neural recordings in behaving flies, computational analysis, and, if interested
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expertise, insight and innovation to maintain UK warfighting readiness in an increasingly dangerous and complex world. As MOD's science and technology leaders, Dstl provides expert advice, analysis, and
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include designing and conducting experiments, developing and integrating photoacoustic and ultrasound systems, validating technologies in animal models, and performing quantitative data analysis and
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to understand innovation behaviors and processes and cultivate innovation ecosystems in complex organizations tackling multi-stakeholder, multi-attribute challenges. -Contribute to the Institute for
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to undertake analysis on the impact of this implementation on institutional productivity. The Research Fellow will support an independent academic evaluation covering three distinct user populations
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, develop and optimize advanced MS methods in metabolomics (including EAD workflows), data analysis and support collaborative studies with Henry Ford Health. Detailed description of work/duties: Research
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you! Job Description Applicants must apply through Interfolio at https://apply.interfolio.com/182627 . Applications submitted through any other platform will not be considered. This position is posted
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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understanding of reinforcement learning foundations, with the ability to perform convergence and finite-sample analysis of complex, non-linear continuous control algorithms. Implementation Expertise
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, VADER, and transformer-based models (e.g., BERT, GPT); Expert in social network analysis (SNA) using NetworkX, igraph, and Gephi for complex network and graph-based data exploration; Successful