249 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"UCL" positions in Netherlands
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superconducting magnets and play a key role in connecting research, technology development, and international collaboration. You are a source of information on your area of expertise and work closely with engineers
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requirements You should have: the ability to summarise complex information; knowledge of the handling of restricted or classified information; the ability to work effectively in an international team environment
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PhD position ‘Courage to Correct: Balancing Error Prevention and Learning in Strategic Crisis Teams’
costs. Yet this drive for error-free performance at a group level can unintentionally silence early warning signals on a personal level-such as when conflicting information during a bomb-threat response
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droplet impact performance in the laboratory. - Implement droplet size dependent and impact velocity dependent cumulative damage models in a digital twin based on meteorological data for site
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Researcher Technical and laboratory You are signed up for the Job alert Previous Next Sign up Cookies We use cookies and similar technologies to process your personal data (e.g. IP address) for personalised
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of electric propulsion flight data for mission propulsion thrust and high-power engines for in-space and interplanetary missions, orbit experiments, propulsion, thrust and high power engines for in space and
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interested in doing causal inference in policy-relevant research, and working with large administrative data. Job requirements We welcome PhD candidates who aspire a career in research. To become one of our
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of competence. Technical competencies General background and specific experience in the technical domains covered by the position Experience with optical design, optical performance and generic data analysis and
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. For more information, please visit Working at Utrecht University . About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At
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the design, implementation, integration and validation of prototype and pre-operational services making use of EO data, AI/ML techniques and modelling environments relevant to SRN applications; contributing