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Ridge National Laboratory (ORNL) seeks a motivated Postdoctoral Research Associate. This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling
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, aiming to expand research fields. It includes the theoretical systematization of database aesthetics and the development of case studies to propose solutions that optimize metadata use. Activities involve
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to enable high quality work in strategic directions that are of significant impact to industry, science and technology. We are looking for a Postdoctoral Research Fellow to advance research in developing
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staff and students YOUR TASKS We are seeking a highly motivated and talented postdoctoral researcher with strong expertise in multiplex imaging technologies and immunology. The successful candidate will
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degree in medicine, a doctorate, a special postdoctoral qualification (Habilitation) or equivalent scientific achievements, an internationally visible research profile, evidenced by relevant excellent
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to design optimized growth media for animal cells lines used in biotechnology. This work involves the development and application of genome-scale metabolic models to characterize cellular growth and
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research on phosphate materials for ARAIB, mainly containing ammonium ions; alternatively on novel materials, including sustainable oxides. At ICMPE, the postdoctoral researcher will perform inorganic solids
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the recruitment of 25 academic and 7 industrial PhD students. Over the course of the DDLS program, more than 260 PhD students and 200 postdoctoral researchers will be part of the Research School. The DDLS program
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
Posting Information Posting Details Department Cell Biology and Physiology - 422001 Posting Open Date 03/30/2026 Application Deadline 04/06/2026 Open Until Filled No Position Type Postdoctoral
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to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal