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origins (bacterial, biological fluids, hybrid nanovectors, etc.). He/she will develop protocols for fluorescent labeling (e.g. DNA paint...), immunolabeling, immunoimmobilization, acquisition, processing
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semimetals, magnetic monopole fluids, quantum spin liquids and exciton fluids. • Data Management, Analysis & Machine Learning Knowledge and experience in high volume image-array data acquisition and management
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day office activities, communications, and records while supporting short-term projects and ongoing initiatives. The positions apply program knowledge, judgment, and initiative to ensure efficient
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Classification Title: Registered Nurse I Classification Minimum Requirements: Graduate of a nationally accredited nursing program. Licensed as a registered nurse in accordance with Chapter 464
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products and services including cell phones & plans, entertainment, health and fitness, restaurants, retail, and travel Professional development opportunities A wellness program to promote health and quality
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Mechanics. Biological Fluid Mechanics. Professional Experience: Design and development of experimental flow circuits. Running experimental campaigns. Applications of biological fluid mechanics. Experience in
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are expected to teach three courses per semester, pursue an active research agenda, and engage in program development and university service. We seek a dedicated individual who will contribute to our vibrant
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graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses
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applications. The project integrates: Computational Fluid Dynamics (CFD) and multiphase flow modeling Radiative heat transfer Machine learning and reduced-order modeling Data-driven optimization for industrial
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, experience with Discrete Element Method or similar simulation software, and knowledge in Computational Fluid Dynamics. Additional experience in process control systems, industrial optimisation, and technology