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the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for submanifolds and their temporal dynamics during behavior Leverage dimensionality reduction and
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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program that trains a diverse group of students as the next generation of neuroengineers through integration and application of data processing, machine learning tools and artificial intelligence approaches
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of methodologies utilized in processing specimens and in solving non-routine problems. The Clinical Laboratory (Histology) Technologist Assistant contributes to the overall efficiency of the laboratory or pathology
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occupational/technical programs and university-parallel/college transfer programs. The Coordinator of Work-Based Learning (WBL) is responsible for developing, implementing, and managing work-based learning
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-parallel/college transfer programs. This position serves as a resource to prepare students for a career through advising, coaching, preparing, and connecting them with the local workforce. The Career
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
to inform decision-making processes. - Ability to think systematically and strategically to meet the needs of the school. - Ability to facilitate short-term projects. - Adhere to ethical standards
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to neuronal dysfunction and degeneration in HD. In parallel, epitranscriptomic mechanisms, particularly N6-methyladenosine (m6A) RNA methylation, have emerged as key regulators of neuronal homeostasis, but
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conventional production hosts. In parallel, we design and build advanced yeast cell factories. By combining fundamental biology with cutting-edge strain engineering, our work aims to enable sustainable
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, translational, and experimental approaches. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute