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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
-on research experience in the preparation and deployment of the EXCITE payload, with topic areas including: infrared detectors and readout, cryogenics and cryocoolers, optics, data acquisition, balloon attitude
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The successful candidate will contribute to the following research axes: AI-driven territorial diagnostics and foresight, integrating multi-source satellite data with machine learning and spatial modeling Climate
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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr
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/information indicating the expected defense date Transcript of all modules and results from university-level courses taken List of publications Names and contact details of two academic referees Early
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commercial tools (e.g., PSSE, PSLF, PSCAD) or open-source tools (e.g., ParaEMT, ANDES and others). Develop new type of electrical components (such as advanced pumped storage hydro, data center, etc.) for large
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to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the expected defense date Transcript
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conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status
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, constrained-DFT, TDDFT, TDDFT tight binding, or NAMD. Additional information: Application date: Priority consideration will be given to candidates who apply by March 13, 2026. Applications will be accepted
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focus; Coordinating data collection; Teaching Bachelor’s and Master’s degree courses in the curriculum of Interdisciplinary Social Science; mainly thesis supervision. Your qualities We believe in a
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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing