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or similar platforms for version control, code management, and research data archiving. Demonstrated ability to collaborate effectively within interdisciplinary research teams and communicate scientific
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
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that learn multiple-state adiabatic potential-energy surfaces, energies, gradients or forces, derivative nonadiabatic couplings, and state-transition behavior from electronic-structure data. Design reliable
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measurement techniques Experience with electromagnetic simulation tools such as Sonnet, Ansys HFSS, Lumerical, or similar platforms Experience with data acquisition, instrument control, and data analysis in
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Biomedical Informatics
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questions through data, we would be delighted to hear from you. The application must include your motivation, a brief statement of your scientific interests, contact details from three references, curriculum
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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of computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis. The Postdoctoral Associate should have experience in processing and analyzing data from the next
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to join an interdisciplinary project at the interface of single-cell genomics, data integration, and developmental biology. The project focuses on the integration and analysis of multi-modal single-cell
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single-cell multi-omics (scRNA-seq, scATAC-seq, Multiome) data generated in 3D forebrain dorsal organoids, we aim to map regulatory networks sensitive to NR2F1 expression levels. Our group studies