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Researcher (R3) Application Deadline 8 Aug 2026 - 00:00 (UTC) Country Morocco Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
Design and Research Execution (60%) Design, perform, and optimize experiments investigating chromatin remodeling, transcriptional regulation, and gene expression. Utilize model organisms, including
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Electrical & Computer Engineering Work Location EPIC and Grigg Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Full-time Hours per week 40 Work Schedule Pay Rate
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optimization; physical tag design compatible with its installation requirements (the leg of a bird); prototype tag building; and development of a simple server side system for data aggregation. Documenting
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structural findings with biochemical and genetic data to define mechanism of action. Develop and optimize workflows for sample preparation, grid screening, and high-throughput image acquisition. Collaborate
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or soon hereafter. Your work tasks The aim of the project is to optimize the production of pigments, which can be used as electrolytes in a battery for storing renewable energy. The work will include
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spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions
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Researcher (R3) Application Deadline 9 Aug 2026 - 00:00 (UTC) Country Morocco Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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optimization, and development of tools suitable for high-performance computing environments. Experience with parallel computing and workload management systems such as SLURM is highly desirable. Model