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reflected by these distant worlds. While current technology already allows the characterization of large gas giants, the ultimate ambition of direct imaging is to extend this capability to Earth-like planets
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The German Aerospace Center (DLR) and the Faculty of Engineering, Computer Science and Psychology at the Ulm University are seeking in a joint appointment procedure (Jülich model) a university
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Center (NUBIC) within the Institute for Cognitive and Brain Health (https://cbh.northeastern.edu/ ) in the Interdisciplinary Science and Engineering Complex at Northeastern University (https
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and engineered systems utilizing engineering or science-based practices and principles. Advises faculty, postdocs, students, and staff with engineering design, modification, prototype and process
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-_graduate_student_application_for_ta_-_english_-_jan_2021_-_fillable.pdf Hiring Unit: Mining and Materials Engineering For information on each position, refer to the job postings list by visiting our website https://www.mcgill.ca
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the CFIB Scientific Advisory Board. Oversee the maintenance and strategic upgrade of imaging equipment, ensuring optimal performance and excellent technology portfolio development. Strategically integrate
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 6 days ago
11 Mar 2026 Job Information Organisation/Company Sorbonne Université SIS (Sciences, Ingénierie, Santé) Research Field Technology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4
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the track record and needs of the individual. The VMTH has capable personnel and modern technology including but not limited to infrared and full spectrum digital single lens reflex (DSLR) cameras, Kowa RC-2
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, measurements, surveys, and/or programming under close technical supervision. Supports research/engineering function by performing basic tasks in the operation and maintenance of research/engineering
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time