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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
About the Role Molecular Framework Materials (MFMs) are of strong interest worldwide due to their porosity, crystallinity and chemical functionalizability / tunability making them appealing for a
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We are looking for a highly motivated and dynamic postdoc for a 2-year period starting at September 1, 2025. We are seeking an exceptional scientist (MD/PhD or PhD) for a two-year position who is
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executes experiments of considerable scope and complexity in the study of trained in either electrophysiology or molecular biology or both to contribute to our research in stress-induced molecular
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processing 2. nonequilibrium physics of molecular machines 3. understanding the role of phase-separated condensates with quantitative models 4. Modeling multicellular systems in mechanobiology 5. AI assisted
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: Possible research topics involve developing and using advanced electronic structure, quantum dynamics and enhanced sampling methods to study photochemical reactions in biomolecules. The successful candidate
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(E. Behar) Supernovae, gravitational waves, stellar physics and dynamics, TDEs and planet formation (N. Soker, H. Perets) Active Galactic Nuclei (A. Laor) and star-formation and molecular clouds (S
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-molecular condensation in live cells. We are using mouse embryonic stem cells and mouse erythroid leukemia cells to investigate the dynamics and function of transcriptional condensates in health and disease
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Ernest C. Pollard Professor of Biotechnology in the Department of Biochemistry & Molecular Biology and Department of Chemistry, and is a member of the Huck Institutes of the Life Sciences where he is the
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of non-canonical DNA. Candidates with an interest in non-B DNA and/or in the analysis of mammalian evolution are particularly encouraged to apply. The successful candidate will join an established dynamic
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thereafter. The project Currently, plant ingredients are often refined to almost molecular purity - and then combined again to create structured foods. This isolation is resource intensive, and the removal