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Field
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should have the competencies of R3 category. Required qualification/skills/experience: - PhD degree in Electrical and Electronic Engineering or a related discipline (e.g., Telecommunications, Computer
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and digitization. More than 400 employees – including around 100 students – from over 50 countries work at nine locations in scientific and non-scientific teams on the development of innovative methods
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the basic methods of observational cosmology. Experience in observational data analysis and computer programming skills are essential. This position is reserved for candidates with less than two years
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one third of general anesthesia in the UK, estimated at 1.1 million intubation procedures per year. Although frequent, these acts are risky and the intubation procedure entirely depends on the operator
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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issues such as privacy, security, and bias in digital health systems. You will adopt a mixed-methods approach, combining qualitative and participatory methods to map the needs of healthcare professionals
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facilitate adoption of enhanced heat transfer methods into renewable energy and propulsion technologies. The insights and computational tools developed intend to significantly advance thermal engineering
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uncertainty characterisations for mass balance estimates from satellite altimetry applying the results in comparative studies and combination studies with complementary methods such as satellite gravimetry
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theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and
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date, in psychology, economics, or other behavioral science discipline. Technical Skills or Knowledge: Familiarity with methods of experimentation. Conducting field, computer, web-based, and