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Stichting Climate Litigation Network | Amsterdam, Provincie Noord Holland | Netherlands | 2 months ago
the same language. SKILLS, KNOWLEDGE & EXPERIENCE Essential: Deep knowledge of climate science. Ability to work with senior members of staff, in an inter-disciplinary manner, to understand how science can be
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. Computer skills in simulation and modelling are also desirable. We expect creativity, flexibility and ability to co-operate within an interdisciplinary research group. Excellent communication skills
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orientation with the ability to set priorities and present practical solutions both orally and in writing; The ability to manage challenging situations proactively and constructively and to be customer-focused
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unforeseen demands, ability to manage challenging situations proactively and to be customer focused, availability to be on standby in specific crisis situations. Strong problem-solving skills to deal with day
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of the fatigue behavior of composite materials and/or polymers, and is able to develop and implement constitutive models in FE software. Development of a Structural Health Monitoring system The ability to estimate
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recommendations and implementation status updates to the Head of the Secure Connectivity Ground Segment and Operations Office. Technical competencies Demonstrated ability to provide technical leadership, strategic
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interviews. Excellent interpersonal and communication skills and the ability to build rapport with research participants. The ability to work sensitively and professionally when discussing potentially
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and other Agency bodies. Technical competencies Proven ability to establish, develop and manage high-level contacts in international and institutional environments Experience in managing international
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necessitates a tenfold increase in bit rates, enhanced user capacity, and significantly reduced power consumption. Given that 80% of data traffic is directed indoors, the current reliance on outdoor base
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. Ability to develop, understand, and critically evaluate machine learning research software, preferably using Python and PyTorch. An interest in foundation models, self supervised learning, multimodal