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Field
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: Mathematical modeling and statistical data analysis. Evaluating data as potential predictors explaining the spatial distribution of archaeological or epigraphic finds (e.g., analysis of variance, correlation
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of variable distributions [13,14]. Graphic neural networks (GNNs) are new inference methods developed in recent years and are attracting increasing attention due to their efficiency and ability in solving
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of the nebular component. This includes, but is not limited to, the study of electron density, diagnostic emission-line ratios, kinematics, and radial intensity distributions. The analysis will make use of the IA
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about DTU Aqua at https://www.aqua.dtu.dk/ ; and the section for Fish and Shellfish diseases here: https://www.aqua.dtu.dk/english/research/fish-and-shellfish-diseases If you are applying from abroad, you
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, please visit: http://mgmt.au.dk/ . Place of work Department of Management, Universitetsbyen 61, DK-8000 Aarhus C, Denmark. Formal Requirements You can read more about how to apply in the application guide
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community. The University of Borås strives for even gender distribution among employees and values diversity. Want to know more? The University of Borås is a governmental authority, which means that you
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of disciplines and collaborations with users where appropriate. Studentships will be awarded to outstanding applicants, the distribution will be overseen by the University’s EPSRC Strategy Group in partnership
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Norwegian master’s degree. Please see https://hkdir.no/en/ for more information about HK-dir’s general recognition. The review process by HK-dir may take some time. Therefore, please submit your application
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can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried out within the DFG Priority Programme “DaMic - Data-driven Alloy and
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) distributions and near-bottom oxygen concentrations. The existing data from publicly available datasets of physical and biogeochemical variables will be merged into a unified dataset. In addition, data will be