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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 2 months ago
related field relevant to the chosen topic - for Postdoc Position Extensive and proven experience in organic chemistry and/or polymer chemistry Experience with analytical methods for polymer
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in the Natural Sciences (AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods
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technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi
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both marine and freshwater environments to estimate distribution and abundance of fish and larger invertebrates and Cornell is at the forefront of the application of these methods in lakes. We are now
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Research Associate. The Goodwill Computer Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
$61,000-$65,000 Proposed Start Date 02/02/2026 Estimated Duration of Appointment 24 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public
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equity, with the goal of using advanced quantitative methods to identify how housing policy can be used to address health disparities. Under direction of the PIs, the postdoc will lead data management and
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documentation. The role emphasizes methodical validation, standards-aligned documentation, and advancing the underlying science of assay behavior and measurement fidelity, translating bench-top prototypes
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Requisition Id 15421 Overview: The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related
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; factors contributing to differential heat/pollution effects across population with varying characteristics vulnerabilities; and use of causal inference methods to estimate health effects of hypothetical