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background in computational biology, machine learning, and bioinformatics, with a passion for understanding the underlying mechanisms of gene regulation. The position provides an exciting opportunity to work
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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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are expected to have a PhD in Physics, Mathematics, Computer Science or a related quantitative discipline. Ideal candidates from the biological sciences should have experience with scientific programming. Ideal
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. doi: 10.3389/fcell.2022.986261. Position Requirements Candidates must have (or soon receive) a PhD degree. Experience in mouse embryonic stem cell culturing and differentiation, genomic analysis
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effective therapeutic options. Position Requirements Education: PhD in Molecular Hematology, Molecular Biology, Cancer Research, or Cell Biology. Research experiences: Ideal candidates should have strong
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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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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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program. The selected candidate will be provided significant resources, including access to state-of-the-art laboratory space and core facilities. The post enables researchers to discuss complex science in
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dynamic research community. Research in the Alexander Lab spans scales of biology as well as experimental and computational approaches. The ideal candidate will have a strong interest in gene regulatory
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collaboration with the Borniger Lab at CSHL studying brain body communication in cancer (see PMID 31174326). Position Requirements The successful candidate will have a PhD in Neuroscience, and extensive expertise