11 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" Postdoctoral positions at Nature Careers in United States
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Job Description Collaborates with new and existing program partners to support research initiatives, including the collection, analysis, and interpretation of primary and secondary data to address
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engineering, analytical chemistry, and computational methods for analyzing sequence information and molecular structures is required to perform research tasks A background in food science or food technology is
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links to representative publications on PubMed) Summary of your current research and key accomplishments Names and contact information of three references We welcome applicants from diverse backgrounds
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to applicants who have received their Ph.D. degrees in neuroscience or related fields within the last 3 years and have experience in imaging in vivo. Skills in computational neuroscience and data mining using
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increasing independence over time. Collaborate on project and analysis design guided by their PI. Develop new computational methods. Adhere to field and lab standards for data analysis. Identify, process
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(including NIH T32 funded slots), pre-doctoral internship and graduate student practicum levels. The Department also maintains comprehensive clinical-research and data science resources. Shared institutional
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cardiac diseases that have not been understood mechanistically in the human context. The development of computational tools to integrate cardioid multi-omics (e.g., scRNAseq) and imaging data analysis in
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models. For more information, visit our website . Ongoing research efforts aim to better understand (i) how dynamic changes in macroH2A1 alternative splicing regulate genome integrity and cell function
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benefits package provided Application Instructions Interested candidates should submit: CV, Brief cover letter describing research interests and experience, Contact information for 2–3 references If you are
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discriminate on the basis of race, color, national origin, sex, sexual orientation, marital status, genetic information, gender identity/expression (consistent with applicable law), age (40 or older), religion