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. This highly innovative project aims to develop a fully AI driven digital twin that enables real-time optimization and control of fermentation processes. The candidate will develop the digital twin for microbial
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. 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 unable to load
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will be integrated into the TIFUUN instrument, a new superconducting imaging spectrometer for terahertz astronomy. Beyond laboratory development, you will actively participate in the commissioning and
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on genetically and optically tractable arthropod species that satisfy a number of appealing biological and technical requirements. We combine advanced microscopy and image analysis pipelines with genetic and
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on the ventilation process, which typically considers the use of window and mechanical air treatment based on average climate measurements. Airflow affects crop transpiration, growth, development, yield and quality
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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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. These computational models can provide crucial mechanistic insights into the key parameters governing these processes, inform targeted in vitro experiments, and help design better biomaterials and TE strategies
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cell biology, and experience working with plants are pluses. We offer training in advanced imaging, and various molecular & genetic skills for investigating fundamental cellular mechanisms. The lab is
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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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dynamically balance throughput, latency, reliability, and energy efficiency according to users' needs and changing network conditions. Meeting these demands requires a new networking paradigm. RF communication