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Postdoctoral Position: Molecular Mechanisms and Neural Circuits of Fear Memory, Maternal and Social Behavior Rutgers University, New Jersey, USA, laboratory of Dr. Gleb Shumyatsky. A key question in
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. The successful candidate will join a dynamic and well-funded team investigating the function of immune cells in the tumor microenvironment that drive drug resistance in breast cancer. Research Focus
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experience in molecular modeling, virtual screening, quantum chemistry, or machine learning for drug discovery are especially encouraged to apply. Required Skills, Knowledge, and Abilities Strong background in
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The Soldner Laboratory at the Albert Einstein College of Medicine is seeking highly motivated and creative postdoctoral researchers with backgrounds in neuroscience, stem cell biology, molecular
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controlling cancer cell biology. Your research focus will be on (1) the molecular mechanisms underlying the action of the oncoprotein MYC; or 2) the role of chromatin remodeling complexes in regulating access
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to dissect how bacterial communities adapt and survive in host-like environments, how microbiota modulate pathogen behavior, and how colonization dynamics influence drug responses. We are particularly
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The Plant Molecular Biology section at the Department of Molecular Biology and Genetics is seeking a highly motivated and ambitious postdoctoral researcher to join a dynamic and international
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current research, the Kellogg lab is a leader in the field ( Science, 2023 , Molecular Cell, 2023 , Science, 2023 , Nature, 2023 , PNAS, 2022 , Science, 2021 , and more ), and has generous support via
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
alongside a dynamic, multidisciplinary team of researchers, clinicians, and statisticians, dedicated to advancing the understanding and application of molecular diagnostics in cancer. Why join us
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-cell CRISPR screens). Mapping dynamic network rewiring from joint scRNA-seq + scATAC-seq. Identifying state-specific causal networks from population-scale scRNA-seq. We approach single-cell biology as a