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Field
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Machine Learning, Reinforcement Learning, AI-based time-series forecasting English language skills, both written and spoken, corresponding to the scale C1 in the Common European Framework of Reference
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. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning, and works on
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Doctoral Programme Motivation to get proficient in Python Interest in sustainability science and strong incentive to learn Industrial Ecology methods, especially LCA analysis. Proven analytical and
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and interpreting results obtained during experiments; • maintaining laboratory documentation and preparing reports and summaries of results; • collaborating with the academic supervisor, postdoctoral
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and research interests, the project may focus on one or more topics such as cyber risk assessment, human–machine interaction, cyber risk communication, cybersecurity training, or organizational and
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, Mathematics, Engineering or a related discipline, with an interest in AI applied to complex and safety-critical systems. Good knowledge of Machine Learning and Deep Learning methods, including experience with
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and strong incentive to learn Industrial Ecology methods like LCA analysis Proven analytical and computational capabilities, in courses and or/thesis deliverables Proven written and oral English
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interdisciplinary environment together with other PhD candidates, a postdoctoral researcher, vascular surgeons, ultrasound engineers, and industrial partners including Philips and Catharina Hospital Eindhoven
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important that you are able to: A good team player A good communicator Eager to learn Results-oriented Work independently Emphasis will be placed on personal qualities. We offer An exciting job with an
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stays at foreign educational institutions Support to education activities in courses within the Software Engineering area Other career-promoting work, such as learning grant preparation fundamentals Be