469 evolution-"https:"-"https:"-"https:"-"Multiple"-"UCL" Postdoctoral positions in United States
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methodological and applied topics in biostatistics. The role also involves contributing to grant applications and manuscript development, as well as collaborating with interdisciplinary teams, including
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the gathered data. It may also include development of research methodology as well as writing reports which contain descriptive, analytical, and evaluative content. Further, the candidate will assist in
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% protected time for scholarly activity/research, and 15% protected time for professional development (e.g., seminars, mentorship, case consultation, etc). The position is one year, with the possibility
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. The project will involve development of novel parallel algorithms to facilitate in-situ analyses at-scale for multi-million and multi-billion atom simulations. In this role, you can expect to work on enhancing
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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methodological and applied topics in biostatistics. The role also involves contributing to grant applications and manuscript development, as well as collaborating with interdisciplinary teams, including
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Operations Design and Fabrication: Lead the development and optimization of cardiac patches and injectable biotherapeutics using advanced biomaterials and nanovesicle technologies. Animal Models: Perform
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the research and development of a robotic concrete 3D printing system and other tasks that are assigned to you. Core Responsibilities: Perform the research and development of robotic concrete 3D printing systems
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system design, hydrogen generation and storage integration, safety critical operations, DAQ development, and performance verification of a modular hydrogen R&D platform. The postdoctoral researcher will
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PIs, publish manuscripts, and apply for career development grants. Develops statistical and generative AI models for single-cell and spatial data from the Martin Lab and multimodal (genetic, imaging