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of Marine Technology at NTNU has a vacancy for a PhD Candidate in Deep Learning enhanced FSI modelling of Multi-modular Floating Structures. The position is part of the AIMOS project (Artificial Intelligence
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
in malaria biology, molecular epidemiology, genomics, immunology, or global infectious diseases. * Experience integrating multi-omic datasets, including transcriptomics, metabolomics, lipidomics
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
locomotion in quadruped robots requires moving beyond conventional rigid legged platforms. This shift calls for the development of new morphologies based on whole-body, multi-functional designs that exploit
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to measure what representations contain or miss. The position is embedded in a well-funded, multi-year research project providing a unique multimodal and longitudinal setting for this research. Research
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the remaining fields in the online application form (https://jobs.vib.be/apply/137653 ) according to the provided instructions. Step 3: Upload Required Documents Resume: Upload your CV in the designated field. In
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implementation in a very multi-disciplinary research environment A PhD title from a highly ranked university (#1 in Europe in terms of scientific innovation) after approximately 4 years of successful research A
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to apply Website https://www.academictransfer.com/en/jobs/364001/phd-student-cerebellar-morpholo… Requirements Specific Requirements What you will be contributing We are looking for a researcher that a vivid
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be considered an advantage if you have experience with safety-critical systems, multi-agent autonomy, or learning-based/data-driven/robust/adaptive control under uncertainty, supported by strong
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the expertise of sociologists, psychologists, educational and political scientists, economists, demographers, and statisticians to provide state-of-the-art, multi- and interdisciplinary supervision of doctoral
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Investigation of charging strategies for multi-stakeholder systems considering technical, economic, and operational objectives Development and evaluation of Vehicle-to-Grid (V2G) and energy management concepts