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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Department of Department
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, public health, and physiotherapy. Our mission is to drive positive societal impact through cutting-edge research and innovation, with a strong focus on digital health. Currently, our department has
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the operation of contemporary and future plasma-based sources of extreme-ultraviolet (EUV) and beyond-EUV light for nanolithography. In our group’s research we, for example, uncovered the quantum origins
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
and molecular biology techniques, imaging approaches, and flow cytometry; Design experimental protocols and ensure rigorous data acquisition, analysis, and management; Preparation of manuscripts
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capabilities. Particular emphasis will be placed on high-speed USV operation in realistic marine conditions, where propulsion, control and sensing are strongly coupled. PhD Focus Area: Propulsion, Control and
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Reference Number BAP-2026-424 Is the Job related to staff position within a Research Infrastructure? No Offer Description Digital imagery has become fundamental to smartphones, surveillance, healthcare, and
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*. * The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities. Candidates are asked to self-declare when applying to this hiring process. City: Ottawa
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this announcement extends these strengths toward an integrated research program on the neural circuitry of craving, reward, and addiction. This work is anchored by an NIH-funded Imaging & Behavioral Neuroscience Core
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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analysis to extract processing-structure-property relationships and support predictive process optimisation. The project sits within Monash's broader ambition to build physical-digital capability