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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute to the development and validation of novel
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DEVELOPMENT) Percentage of Time: 100 Union Code (Name): 99 Employee Class (Appointment Type): Staff: Career FLSA Status: Non-Exempt Classified Indicator Description (Personnel Program): PSS Salary Grade: Grade
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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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-looking new curriculum at a top public research university. They will join the program at an exciting moment of expansion and development that parallels the university’s increased cultivation of research
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computational experts to conduct efficient analyses leading to discovery in mammalian neuron genome structure-function data. In parallel, trains to achieve mastery and excellence in running code written by other
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18 Feb 2026 - 00:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Employment Type: Permanent Staff (EHRA NF) Vacancy ID: NF0009437 Salary Range: Compensation for this position will follow the North Carolina Department of Public Instruction salary schedule found here: https
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massively parallel sequencing assays of DNA and RNA from patient tumor samples. Data from these environments are used to advance research on both adult and pediatric cancers, improve our understanding
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in our Cancer Research Facility. A level 3 technician will be expected to contribute intellectually to the driving of a project, and be able to parallel process 2-3 research endeavors. The HS Research
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surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs of the original computations at a fraction of the cost. This hybridization aims not only