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knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart
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field. Ideally, we are looking for someone with previous experiences, knowledge and/or strong interests about: Network management/operations Hardware design Routing protocols Modern networking stacks
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of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over
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for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that
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programming; some prior skills in machine learning are beneficial Knowledge and experience in the topics of life cycle assessment and chemicals manufacturing would be a benefit but are not required Your
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(Not Mandatory): Experience with the analysis or simulation of space geodetic observations Knowledge of machine learning methods, frameworks, and applications Familiarity with VLBI is a plus A
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: knowledge of basic natural language processing or text entry techniques Familiarity with interactive systems or interaction techniques Strong problem-solving and technical debugging skills Optional
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-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an
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have an M.Sc. degree in civil engineering or building engineering/architecture with in-depth knowledge/understanding of the behaviour of unreinforced masonry structures, expert programming skills, and a
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or modeling. If you've dabbled in GIS, that's a bonus! Willingness to Learn: You're excited to deepen your knowledge in areas such as forest economics, forest management, economic theory, spatial analysis