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perception at the landscape scale under different scenarios and employ behavioural experiments and Big Data analytics to understand how changes in time perception influence pro-environmental and sustainable
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natural language processing (orthography normalization, grammatical error correction, morphology tagging, syntax parsing, readability assessment), machine translation, and text analytics. Since its
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scenarios and employ behavioural experiments and Big Data analytics to understand how changes in time perception influence pro-environmental and sustainable behaviours. NATURETIME aims to generate actionable
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. The successful candidate should have previous experience working on human intervention studies and possess excellent organisational, communication and analytical skills. They should be highly motivated, capable
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, automation, autonomous systems and industrial digitalisation. Links: Geometry Assurance & Robust Design: https://www.chalmers.se/en/departments/me/research/product-development/geometry-assurance-robust-design
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subject, such as aerospace engineering, aeronatucial engineering, atmospheric sciences, or (applied) physics. Excellent lab-experiences Advanced mathematical, analytical skills, and programming skills, e.g
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for scientific and personal development through courses, workshops, mentoring, and collaborations. Where to apply Website https://www.academictransfer.com/en/jobs/362833/postdoc_vici_fusi/apply/ Requirements
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, morphology tagging, syntax parsing, readability assessment), machine translation, and text analytics. Since its establishment in 2014, the CAMeL Lab has produced over 200 publications and 20 language resources
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learning and deep learning techniques to the biological sciences. The ideal candidate will have expertise in artificial intelligence, with a specific focus on deep learning applications in structural biology
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the group's core research areas, and a proven ability to conduct independent, high-impact research. Experience in cybersecurity for cyber-physical systems, digital twins, BIM, AI and machine learning