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from Washington, D.C., George Mason University is uniquely positioned for collaborations with multiple academic institutions, government laboratories, and industry partners in the D.C.–Maryland–Virginia
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climate modelling. Core activities include multiple research cruises and extensive cross-institutional collaboration. The selected candidate will investigate how climate change affects the efficiency
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. Strong fundamentals in cancer biology and statistics are essential. Demonstrated proficiency in multiple programming languages such as Python/R, with experience in computational analysis of omics datasets
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at multiple taxonomic levels in space and time of selected groups within the petaloid monocots. The candidate will use an integrative approach to these studies, using a molecular phylogenetic framework to study
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: Data is crucial for effective AI-based systems, so the project could explore processes, artefacts, and practices for collecting, aggregating, cleaning, and managing large-scale financial data from
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time manually, the same researcher could build hundreds or thousands of strains in parallel using our robotic platforms. The Australian Genome Foundry is capable of synthesizing complete eukaryotic
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experts in innovative ideas to move the proposed research forward. There are multiple opportunities available to engage in your applied research and evaluation interests. Where will I be located? Portsmouth
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are eager to carry out research on statistical issues related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools
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degree (or other corresponding education equivalent to a Norwegian doctoral degree) in Natural Language Processing, or in Computer Science with a clearly NLP-based dissertation. The doctoral dissertation
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like Glioblastoma. In this context, the present PhD Research Fellow will contribute to the project using semiconductor processing and quantum technology. The PhD Research Fellow will be affiliated with