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noise spectra and modeling them in terms of microscopic fluctuator ensembles, and performing numerical calculations or simulations where appropriate. The researcher must be able to work both independently
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of molecular dynamics simulation and mathematical modeling. Working Environment Laboratory and research environment. About The University of Texas at Tyler and UT Tyler Health Science Center The University
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., molecular biology, cell biology, biochemistry, biomedical sciences, Immunology, or related fields) Job Description: A postdoctoral associate position is available in the laboratory of Dr. Geoffrey Keeler
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projects as a Postdoctoral Associate, to start in Fall 2026/Spring 2027. Candidates with research interests and training background in bioengineering, molecular biology, metabolic engineering, chemical
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studies, and molecular and cellular approaches, we investigate how the hematopoietic stem cell (HSC) niche—particularly megakaryocytes and vascular endothelial cells—regulates mutant HSC expansion and
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Microbiology, Molecular Biology, Cell Biology, Bioengineering or a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
the molecular mechanisms responsible for the nuanced signaling paradigms of GPCRs and how they lead to vastly different biological outcomes. Gaining atomistic insights into receptor-ligand interactions will allow
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InLife Institute of Animal Reproduction and Food Research, Polish Academy of Sciences | Poland | 13 days ago
, and identification of c-sncRNAs associated with egg and sperm quality. Position description: The successful candidate will participate in molecular research, data analysis, and interpretation of results
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laboratory (http://www.garglab.org ) uses approaches from genomics, molecular biology, systems biology, and data science to understand cellular heterogeneity. We want to understand how cell systems with
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, aims to design, develop, and validate an AI-powered digital twin model addressing key challenges in Health Research. It is a digital copy of the human body trained to identify missing scientific concepts