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. The research group is seeking a talented Doctoral Researcher in nonlinear systems and control with strong interest in nonlinear stability theory, modeling & identification, optimal control, certifiably safe
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for future generations. Equally, we have the potential to dramatically improve the wellbeing of people across the planet. It is this combination of urgency and optimism that characterises all our work at the
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. The research focus of our group is on parallel computing, supercomputing, and performance tuning and optimization of advanced applications. Our team currently consists of 10 scientific and 3 administrative
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nanomaterial-nucleic acid hybrids for optimal device bio- and gas sensing, as well as for optoelectronic applications. About You The candidate will have experience in materials science research and ideally DNA
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/VR applications (e.g., babylon.js, A-Frame, etc.) will be an advantage Experience in developing XR app for teaching & learning/training. Experience developing optimized modules in C#/C++ within Unity
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). The ideal candidate will have: A PhD in environmental science or closely related discipline by the start date of the appointment Broad understanding of eco-evolutionary optimality concepts and modelling
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collection, and applied mathematics. Our goal is to make optimal use of past climatic information to better understand Earth’s climate response to various kinds of forcing, focusing on abrupt climate
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recommendations are shared with our Partnership and Advisory Group who work with us to ensure that our understanding is optimal and our dissemination approaches effective, as well as informing any new initiatives
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of plant invasiveness, mutualisms among invading organisms in forests, risks and benefits of non-native trees in forestry, social perceptions of non-native species in forests, economic optimization of forest
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to deliver industry-relevant tools that enable optimal design and operation of hydrogen technologies in real-world application. The successful candidate will work at the intersection of multi-disciplinary