1,153 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" Postdoctoral positions in United States
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(e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a
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. - Analyze electrophysiological data using software such as pCLAMP, Igor Pro, or MATLAB to quantify changes in membrane properties, action potentials, and synaptic currents. - Collaborate with
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specified by the Principal Investigator. Additional Information about the job: The successful post-doctoral candidate in this position will work closely with Dr. Robert Roeser in his role as the Alice Valli
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(such as advanced pumped storage hydro, data center, etc.) for large-scale power grids study. Support interconnection studies, grid impact assessments, and compliance studies. Prepare the results in form
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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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affordability of energy supplies. The PSR group focuses on resilience, data analytics, protection, and EMT simulation research. Major Duties/Responsibilities: Develop electromagnetic transient (EMT) models
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to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation
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++, Monte Carlo simulation, event reconstruction techniques, and data analysis and data quality assurance. KATRIN recently set the world-leading neutrino mass limit of 0.45 eV/c2 , and its ongoing and final
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Specific Functions Review laboratory methods, scientific journals, abstracts and other literature for information applicable to research experiments. Develop new methodology or expand existing one. Recommend
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in cosmology. The candidate will work with Prof. Arun Kannawadi and Prof. Michael Troxel on building next-generation pipelines for joint analyses of imaging data from the Rubin Observatory’s LSST and