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expertise in one or more of the following specific areas: Plasmid library cloning and screening (pooled and/or arrayed) Virology (especially DNA viruses) Mammalian gene regulation Chromatin structure and
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Engineering Posting Number R260073 Posting Link https://www.ubjobs.buffalo.edu/postings/62277 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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synchrotron experiments at NSLS-II, integrating multimodal datasets, and developing predictive process-structure-property frameworks and closed-loop AI-experiment workflows for high-precision advanced
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Qualifications Minimum Education and Experience PhD in Biomedical Engineering, Electrical Engineering, Materials Science, or a closely related field. Proven track record of research in flexible electronics
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that these properties covary with genotype. This project aims to (1) assess and understand the potential structure of withdrawal, (2) acquire data from genetically diverse mice under a multitude of conditions, and (3
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geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a related
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Experience Doctoral (PhD) degree in Civil, Ocean, Mechanical Engineering or related field with a focus on Coastal Systems, Coastal Numerical Modeling, Nearshore Field Data Collection, Hydraulic Engineering
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molecular biology, immunology, biomedical engineering, or related field. Consideration to interview will also be given to applicants who are completing their PhD in molecular biology, immunology, biomedical
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should meet the following qualifications and possess relevant expertise: A PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field, with a strong experimental research
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of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https://www.nature.com/articles/s42256-021-00407-x ), and extending these tools or developing new models as