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Field
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: The postdoctoral researcher will contribute to ongoing research projects in computational modeling, multiscale simulation, and data-driven design of functional materials for structural applications. The position
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
collaboration with world-leading experimentalists in pharmacology, structural biology, biochemistry and medicinal chemistry, the new postdoc will have the opportunity to work on unprecedented simulations and AI
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Postdoc Position in the Science of Hybrid Intelligence Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 13
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of cell factory engineering. Develop software tools that enable programmatic interaction between large language model agents and metabolic models, enabling automated simulation, interpretation, and
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Faculty of Health and Medical Sciences University of Copenhagen We are looking for two highly motivated and dynamic computational postdocs to join the group of Prof. Ana Cvejic from the 1st of June
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modelling on the other. Composite and nanostructured materials are in focus due to their superior functional and structural properties. Qualification requirements Appointment as Postdoc presupposes scientific
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At the Faculty of Engineering and Science, Department of Materials and Production a position as Postdoc in Peptide synthesis of fluorescent peptides is open for appointment from August 1st 2026
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 20 days ago
testing models using data from direct numerical simulations and experiments. Investigating whether machine learning can identify efficient control strategies for turbulent flows. Studying
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. Knowledge of GWAS analyses (PLINK and SKAT-O), and multivariate and mixed model analyses are also recommended. We are seeking motivated postdocs with strong analytical skills to join our effort and generate