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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Position
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biodiversity, as well as analyses of past and current land use configurations for multiple facets of biodiversity, i.e. species, functional, phylogenetic, and genetic diversity. The tasks will encompass
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). - Scientific computing experience (e.g., Python, Julia, C, C++). Preferred Qualifications: - Experience with optimization modeling and mathematical programming languages (e.g., GAMS, Pyomo, JuMP). - Experience
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, impacts, or resilient system design. Proficiency in programming (e.g., Matlab/Simulink, Python, ROS) and embedded sensing. Good analytical skills, ability to design experiments and prototypes, familiarity
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
skills for data treatment (e.g. MATLAB, Python) Prior work related to toxicology, safe and sustainable by design (SsbD) Prior experience in the preparation of nanofibers, textiles, cosmetics and/or cell
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) are contributing to the PEACE-Air objectives through research in collaboration with project partners in Northern Ireland and Ireland. The research involves deployment of networks of multiple low-cost air sensors in
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. MATLAB, Python) Prior work related to toxicology, safe and sustainable by design (SsbD) Prior experience in the preparation of nanofibers, textiles, cosmetics and/or cell and tissue models (skin, lung
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in Civil/Environmental Engineering, Environmental Sciences, Geography, or other quantitative fields are welcome. Additional qualifications: • Strong programming skills, especially Python and MATLAB
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. At the system level, degradation reduces both energy and power throughput, while at the fundamental level it originates from multiple root causes within the electrodes. This position offers a unique opportunity
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trigger reconstruction architectures for future particle collider experiments, based on deep learning models distributed across multiple hardware processing stages. The mission of this position, based