49 numerical-modeling-"Multiple"-"Humboldt-Stiftung-Foundation" Postdoctoral positions
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ability to scale models using distributed computing environments. Excellent oral and written communication skills for effective collaboration across multiple teams. Commitment to embodying the core values
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty
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academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education, innovative research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
scientists in other departments across campus, including in science, medicine, and the humanities. Numerous computer science faculty members have adjunct or joint appointments in other departments, lead large
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are recruiting an exceptional post-doctoral researcher to lead technical development in our pioneering project creating the first computational framework for simultaneously modeling Icelandic speech and sign
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related field is required, along with a solid understanding of Geophysical Fluid Dynamics. ABD will be considered in a related field. Preferred Qualifications: Experience in numerical ocean modeling is
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health data, c. QA/QC of collected and analyzed data and data validation and verification against independent sources, d. data summary and analyses, e. modeling of individual or multiple elements
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, paleoecology, paleoclimatology, numerical modelling, relational database design, and geological data science a strong track record of publications in leading international scientific journals (Q1) and effective
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expertise in at least one of the following: geochemistry, carbonate sedimentology, paleoecology, paleoclimatology, numerical modelling, relational database design, and geological data science a strong track
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between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind of objects or relations between