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also offer to work in a stimulating, young and multicultural environment, and to be part of a dynamic and growing research team Selection process https://www.upm.es/Investigacion/HRS4R/HRS4R/Seleccion Se
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
degree; strong quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant experience
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(DRG) isolation, processing, and analysis Desirable Qualifications: Experience with statistical analysis software such as GraphPad Prism or R Experience with catch-clamp recording Experience with Ca2
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center located within Wayne State University in Detroit, Michigan, seeks an experienced Survey Research Operations Manager to oversee the logistics and processes for implementing large-scale multi-mode
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to sustainable and liveable cities, and the challenge of heat resilience). Applying qualitative and quantitative research methods: interviews, focus groups, workshops, surveys. Setting up participatory processes
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, Processing: In this research area, we investigate how to establish new key processes to make the most of the impure raw materials sourced from the Martian atmosphere and regolith to flexibly and efficiently
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within ongoing and new research projects; contributing to both fundamental understanding and applied innovations aimed at sustainable chemicals, materials, and processes; collaborating within
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testing the intervention programmes; manage data collection, data processing and scientific analysis of the programmes’ effectiveness; contribute to the preparation of the project’s required deliverables
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Postdoctoral Researcher to lead technical service delivery for the Luxembourg Digital Innovation Hub (L-DIH 2.0). Operating at the intersection of process systems engineering, data-driven modeling, and applied