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coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model
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focus more on model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust
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model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate
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electricity, industry, transport, and exports. CSIRO is playing a pivotal role in this shift, delivering reliable, evidence-based research to support the development of resilient and efficient energy systems
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metrics during both standard operation (primarily governed by system reliability) and extreme events (primarily governed by robustness and restoration). This will be achieved by building on previous
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Palaeoenvironment (SHEP) at the University of Tübingen is seeking a motivated PhD candidate for the Paleontology working group: PhD Candidate / Research Assistant (f/m/d)Turtle Neuroanatomy & Evolutionary Morphology
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partner in an exciting 5-year collaborative program. We are currently seeking applicants for three PhD projects as listed below. The successful candidates will be based in either NIBRT or UCD and will also
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strong teamwork and communication skills, reliability, attention to detail, effective time management, and the ability to independently lead their own programme of research. You will have an MSc and
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. We are particularly keen to hear from applicants who: Are strongly motivated, reliable, and committed. Show good initiative, with a willingness to learn and attention to detail. Are happy to live and
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an immediate vacancy for a research assistant (m/f/d) (TV-L E 13) in the field of Reliable (Safe and Protected) Autonomous Driving in Clausthal-Zellerfeld, initially for a period of up to 3 years on a full-time