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Field
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. Strong background in Data Analysis and Signal Processing 3. Strong writing skills 4. Ph.D. or equivalent doctoral degree in biomedical engineering/neuroscience/motor control/kinesiology 5
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Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimizing decentralized, integrated energy systems. These systems are characterized by the high spatial and
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robotics applications and has application in all three endoscopic areas. The goal of the PhD is to computationally design using a simulation-guided approach and synthesize via light-based 3D-printing
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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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reuse are currently made across different European contexts. You will map and analyse existing decision-making processes and strategies using qualitative research methods. Based on your findings, you will
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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 We invite applications for a PhD research
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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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-procedure-and-employment-conditions. Applications Applications should be submitted in English and include a: Cover letter; Research proposal (maximum 1000 words) which states how you would approach
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
schools, clinics and water facilities, while reducing dependence on diesel generators and promoting circular economy solutions. The work will mainly focus on modelling, algorithm development, simulation
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, sustainability objectives and future uncertainties into a unified decision-making framework. The candidate will develop probabilistic modelling and stress-testing approaches, including Monte Carlo simulations and