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Loadability and robustness under dynamic or off-axis forces You will combine analytical modeling, finite element simulations, and experimental validation to explore new coupling topologies and materials
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to monitor Astronauts’ health that are collected into ESA Astronaut Medical Database (AMD). SMT is responsible for the maintenance, quality assurance, and evolution of the AMD. To enhance our analytical
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: Analytical approach Communicative spirit Affinity with an educational work environment Willingness to continually learn and improve A critical and flexible mindset Job requirements Requirements HBO+ education
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public audiences and taking part in a pilot programme where experience can be acquired in high school science teaching; use graph theoretical tools to develop new fundamental frameworks and analytic tools
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comfortable applying analytical thinking to explore research questions and have programming experience (preferably in Python). You have an affinity with coastal numerical modelling, e.g. AeoLiS, XBeach
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data analytics, artificial intelligence and machine learning and statistical and analytical methods and tools Strong understanding of the entire product lifecycle, including the feedback loop
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of television and/or radio; have strong academic writing and analytical skills, demonstrated by publications; have excellent proficiency in Persian and English, and possibly other relevant Iranian languages
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or computational neuroscience, artificial intelligence, psychology or a related field. strong programming skills. experience in experiments with human participants is preferred. good analytical skills and a positive
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stakeholders and external IT suppliers, particularly in a federated IT context A proactive, structured and analytical mindset, with a focus on service delivery, stakeholder satisfaction and continuous
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, analytical, delegation, planning and organisational skills; The ability to anticipate problems, solve complex issues and relate situations to their context; The ability to reach solution-oriented, pragmatic