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] Subject Areas: Engineering / Materials Science , Mechanical Engineering Appl Deadline: 2025/07/11 11:59PM (posted 2025/06/12, listed until 2025/12/12) Position Description: Apply Position Description
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for adaptation to sea level rise along the Maine coast. This 18-month grant-funded position will be supported in partnership with Maine Coastal Program (MCP), Maine Geological Survey (MGS), and faculty from
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distribute information for meetings, conferences and publications and conduct occasional meetings with project sponsor personnel; Other duties as assigned Adaptability, excellence, and passion are vital
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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will also be considered. Strong background in analyzing large astronomical datasets is essential, particularly in characterizing non-isotropic distributions and spatial-kinematic properties using Gaia
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discussion with their mentor regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings or techniques privately or in
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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students on data analysis and detector projects. 40% Instruction of introductory physics lecture section 25% Core reconstruction and simulation software and computing development 15% Construction
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representation, knowledge engineering, linked data. About the role The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin