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Description: Apply Position Description Position Description: The Duke Master of Interdisciplinary Data Science (MIDS) program invites applications for an Adjunct Assistant Professor position with expertise in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
Posting Information Posting Information Department Genetics-423501 Career Area Information Technology Posting Open Date 03/09/2026 Application Deadline 04/10/2026 Open Until Filled No Position Type
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, and S-100–based maritime data systems, including the design, prototyping, and evaluation of symbology, as well as broader computational cartography topics such as geospatial data management, automated
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like Genetic Algorithms (GA) and PID control, using MATLAB/Simulink. Experience with electrical and battery testing, soldering, and PCB design (e.g., Autodesk Eagle). Ability to work collaboratively in
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22 Feb 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique de l'ENS Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher
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| GIS Analyst | Graphic Designer / Product Designer | UX Researcher | Community Impact Intern | Education Content Intern | Program Planner Intern | Community Impact Intern What You’ll Do: Responsibilities
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computational approaches. We seek to create a positive, high-energy environment with open and honest communication to empower individuals to discover and refine their purpose and grow into the best versions
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Job Responsibilities and Standards: 1. Program Leadership & Strategic Direction Provide strategic oversight and direction for the DUHS Cardiac Monitoring Program in partnership with ACNO for Heart
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 13 days ago
including blood, vaccines, allergenics, tissues, and cellular and gene therapies. Research Project: You will join a research program focused on elucidating the functional and immunological consequences
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include: Assist in porting quantum computing optimization codes to CUDA-Q for use with NVIDIA GPUs. Collaborate with NLR researchers on developing formulations and algorithms for solving optimization under