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If you are a current Barnard College employee, please use the internal career site to apply for this position. Job: Graduate Student Mentor for the Barnard College Mellon-Mays Fellowship Program Job
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Motor Researcher for the Mechanical Systems Modeling (MSM) Group. The Senior Electric Motor Researcher will perform analysis on electric motors and motor drive systems for gas centrifuges. In addition
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background in computer science and programming. The ideal candidate will have strong skills in web scraping, processing unstructured data (both text and images), and experience with modeling techniques such as
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expertise in conducting and analyzing scientific experiments involving rodent models and in basic molecular biology approaches. They should have a broad (college-level) knowledge of biochemistry, cell biology
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stations around the state to carry out this mission. The Survey has been a model for statewide archeological programs in the United States and around the world. AAS web home page: http://archeology.uark.edu
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PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms, or applications. (2) Proven engineering expertise: Hands-on experience
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
throughout the world. In addition to our graduate program, we provide instruction to medical, nursing, physical therapy, and physician assistant students. ECU is located in the coastal region of North Carolina
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. The applicant will be expected to recruit graduate students (from the interdisciplinary Genome Science and Technology Program) by year 3. A competitive startup package including support for PhD students and
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expertise in conducting and analyzing scientific experiments involving rodent models and in basic molecular biology approaches. They should have a broad (college-level) knowledge of biochemistry, cell biology
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engine. Algorithm Development: Contribute to designing, prototyping, and testing algorithmic models for personalized content recommendations. System Evaluation: Support the evaluation of the recommendation