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of neural circuitry across rodent species to bridge this knowledge-gap. Position Requirements Candidates must hold a PhD degree (or equivalent) in neuroscience, biomedical engineering or a related field. The
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expected to be in the process of completing or have recently completed a PhD degree with research experience in cancer biology, bioinformatics, biochemistry, biophysics, or immunology. Experience/Skills
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methods to interrogate the functional role of specific lncRNAs in pluripotency, differentiation, and disease. This knowledge will lead to new potential opportunities in regulating these processes
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mechanisms, with a track record of creative research in molecular biology, cell biology, genomics, imaging approaches and/or bioinformatics. If selected for this position, you will be expected to: Develop and
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insights into the mechanistic underpinnings of regulatory processes. Collaborate with experimental biologists to validate computational predictions and integrate multi-omic data. Contribute
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hematopoietic cell development and hematologic cancers. Based on these basic mechanistic insights, the Laboratory is building innovative therapeutics to treat hematopoietic cancers that are currently without
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organ 3D imaging at single cell resolution of the disease (PMID 34788609). This now allows them to map and functionally probe the neuro-metastatic interface (reviewed in 32302564). The work is a close
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Laboratory, NY. We are looking for a post-doc broadly interested in studying biological information processing from an algorithmic perspective. The goal is to discover new ideas for computation by studying
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scientific discoveries. PhD candidates expecting to complete by 2024 are encouraged to apply. Candidates with expertise in organic synthesis, peptide/ natural product/macrocycle chemistry, or chemical biology
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autoimmunity triggered by cancer. We employ a multidisciplinary approach, integrating structural biology, high-resolution imaging, and electrophysiology. While expertise in cryo-electron tomography (cryo-ET