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Field
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and with this GSI position. Please include your University Department/Program and year in graduate studies. Course Description CSC 335 - Computer Networks I CSC 275 or CSC 276 required, MTH 118 or MTH
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formulations to target multiple pathogens. The technology uses a genetic blueprint to create a novel mRNA for target proteins, which can be encapsulated into lipid nanoparticles (LNPS) for delivery and cellular
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issues or areas of critical data examination. Works with statistics on defining and documenting programming endpoint algorithms across a study, drug program and/or contributing to TA level algorithms
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Genetics Education Program for Nurses (195.9 nursing contact hours) Board certification as a Family Nurse Practitioner Must be credentialed to see adults and children Fluent Spanish or Creole speakers
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, or computer algorithms for law enforcement and sentencing. The position has a teaching load of 2:2 -- i.e., four semester-long courses over the academic year -- and will have a joint teaching commitment to GOV
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processing, scientific and interactive visualization, high-performance computing, scalable algorithms, bioinformatics, and multi-scale multi-physics engineering systems. Requirements: Master's degree in
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learning algorithms, seismic hazard assessment in urban areas, and novel tools for measuring changes in time with ambient seismic noise. Minimum Education and Experience Ph.D in a related field. Preferred
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ISAC demonstrators. Implement and optimize advanced signal processing algorithms for joint communication and sensing. Analyze experimental datasets, extract statistical models, and compare findings
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of murine models of 22q11.2 and 3q29 deletion syndromes, two rare conditions that confer the highest genetic risks of schizophrenia. Key Responsibilities: Develop and implement advanced algorithms
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applications for a tenure-track faculty position in the area of deep neural networks for biology. Successful candidates will have a strong interest in developing, interpreting, and applying new algorithms and