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Field
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analytics, biomechanics, and sports science, while delivering high-impact demonstrations that showcase the power of AI in practice. Working closely with senior academics, students, and external partners, you
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, NTNU will arrange for you to acquire such competence during the employment period. In such cases, you will also be assigned relevant teaching as part of the career-promoting work. The appointment is to
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educational competence that meets the requirements for a position as associate professor in Norway, NTNU will arrange for you to acquire such competence during the employment period. In such cases, you will
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education specifically pertaining to the areas of curriculum, policy measurement, and/or learning. Strong knowledge and skills in statistical analysis are preferred. The successful candidate must possess
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augmentation, manipulation and dexterous manipulators, telepresence and teleoperation, industrial automation and robotics, active perception and learning, inspection robotics, hyper-redundant robots, robot
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) and the Leeds Institute for Data Analytics (LIDA). Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify
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, under challenging field conditions. An ideal candidate should show curiosity and strong (self-)motivation for the subject area, be analytical, structured, independent, approachable, and possess good
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Australian agriculture: Analytics for the Australian Grains Industry (AAGI) and the Australian Plant Phenomics Network (APPN). Hosted by UQ’s School of Agriculture and Food Sustainability in collaboration with
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, within a team, under challenging field conditions. An ideal candidate should show curiosity and strong (self-)motivation for the subject area, be analytical, structured, independent, approachable, and
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aspects of both. The first direction concerns the data-driven discovery of dynamical rules underlying developmental trajectories. The aim is to develop and analyze quantitative frameworks that learn