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Field
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requirements PhD or equivalent academic qualifications with a specialization in AI in areas relevant for the project (e.g., MIR, computational music analysis). The applicant is required to demonstrate how
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candidate will lead tasks related to experimental testing and numerical modelling to verify structural performance under representative environmental conditions and establish a design envelope for
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the autism macrocephaly phenotype and how cis-regulatory variants contribute to disease risk. Performs: the culturing and maintenance of numerous iPSC lines, the generation and maintenance of NPCs from
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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applications from scholars no more than two years out from the receipt of the Ph.D. whose research is rooted in historical analysis, who engage with questions about social equity in both research and teaching
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Twin and AI integration for hydraulic modelling, real-time data analysis for advanced leak detection and system optimisation, reducing energy costs, decreasing water losses and improving operational
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the FLEXPART model, you can also propose your own research topics. These could be, for instance, theoretical and numerical improvements of FLEXPART, development of new application fields for the model
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– then these may be taken into consideration. We are looking for someone with a PhD in computer science or related areas. The candidate has a strong research record with publications in top-tier
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analysis, clinical trials, infectious disease and epidemiology, The centre has numerous collaborations with leading biomedical research groups internationally and in Norway. About Integreat Integreat is a
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. Responsibilities will include field-related tasks from planting to harvest, post-harvest seed processing, data analysis, and report and manuscript writing. The successful candidate will have excellent written and