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Field
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-based quantum imaging will be a strong secondary advantage, particularly for translating fabricated diamond devices towards sensing and imaging novel materials. The successful candidate will play a key
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; Proven competence on flow measurement techniques and PIV; Familiarity with optics, lasers, image processing and statistical data analysis Familiarity with flow modelling techniques (CFD) or machine
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methods, image processing, high-speed imaging, cryogenic testing, composites, numerical modelling or non-destructive testing is an advantage. You can work independently while collaborating effectively with
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
for MITEI’s academic programs including: the Energy Studies Minor (MIT's flagship undergraduate energy program), UROP (60-100 undergraduate researchers annually across MIT), Energy Scholars (10-20 PhD
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requirements and priorities. Strong skills in data analysis, image processing, and programming (e.g., Python/C++). Demonstrated experience in publishing scientific journal papers. Fluent in English (oral and
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
application process here. About the position The Department of Department of Mechanical and Industrial Engineering is offering an exciting PhD position within the Norwegian Maritime AI Centre , a national
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden W rttemberg | Germany | 3 months ago
throughout the Helmholtz Association. Within HI, the Applied Computer Vision Lab (ACVL) at DKFZ develops state-of-the-art methods for image analysis and machine learning, supports researchers in
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slurries, improve our understanding of blood flow, and support the development of sustainable manufacturing processes. This PhD position is part of the ERC Advanced Grant project IDeS and you will join a
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mechanics, computer vision, and immersive digital environments. The ideal candidate will leverage expertise in physics-based simulation, computer vision, and mechanical design to support our current research
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every process that involves automation. The Postdoctoral researcher will join the research team in InAFQual, a project funded by the Interreg Aurora, a funding programme in the European Interreg community