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, depending on the level of expertise. Knowledge of the design and modelling of structures for wave control under oblique incidence, including related approaches (e.g. WAIM or other similar techniques): up
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or fisheries models linking population dynamics with economic behaviour. B2. Familiarity with participatory or deliberative valuation, systems mapping, or stakeholder-based modelling approaches. B3. Knowledge
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(qPCR). Cell culture techniques: Maintenance of patient-derived cellular models of mitochondrial disease. Handling of transmitochondrial cybrids cell lines.. Culture of primary skin fibroblasts derived
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of research methods, technical models, equipment and techniques relevant to the project/discipline as outlined in the Job Purpose. Specifically, a specialist theoretical and practical knowledge in AI and the
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. Knowledge of geoinformation technologies, 3D building modelling (BIM), and AI applications Knowledge of R and Python—especially spatial data science techniques Analytical and process-oriented thinking as
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-native wireless communications and networking, specifically developing context-aware multimodal Generative AI (GenAI) models, scalable mixture-of-experts (MoE) at the network edge, and multi-agent
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combines natural history knowledge, rigorous field work in all corners of the world and an assemblage of huge biological data sets on species distributions and traits built from primary sources, as
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computational and mathematical approaches grounded in information science. By modeling the knowledge derived from such approaches and translating it into novel system technologies, it becomes possible to develop
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building demonstrators · Knowledge of Comsol multiphysics software for finite element modeling of the piezoelectric transducer is a plus · Skills in simulation of electronic circuits (LTSpice
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PhD researcher in AI:GENOMIX, you will contribute to next-generation models that rethink polygenic prediction and support the future of precision medicine. AI:X is an ambitious initiative at Aalborg