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Field
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access processes and policies across multiple jurisdictions to provide advisory support, leadership and professional recommendations to project processes. Leads an environmental scan of data access and use
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 28 days ago
of multiple timescales. Collectively induced stochastic resonance phenomena on molecular ensembles in optical cavities. Cavity-induced off-equilibrium consequences on chemical reaction rates Develop (ab-initio
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start the development of a project. Develop cutting edge machine learning algorithms for various parts of the online system including perception, planning, and forecasting Identify data sets needed
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complex process often requiring multiple calls to the patient, referring physician, previous facilities/providers to request records and record review with the clinical team. Independently determine
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the campus, empowering users to leverage data in a way that enhances institutional effectiveness. Furthermore, the RPA will apply a social justice framework when developing algorithms, creating data structures
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, technologies, models, and algorithms, and provide recommendations on their implementation. Sports Science Data Specialist II Responsibilities Assist in managing technological processes, conducting real-time data
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) at Harbor Branch Oceanographic Institute/Florida Atlantic University. Currently, SAIL is conducting multiple projects ranging from Hybrid Aerial Underwater Robotic System (HAUCS) – a cyber physical system
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aims to make discoveries by mapping the brain. The Lab is using high-throughput serial electron microscopy (SEM) to completely image multiple brains and nervous systems. The massive data sets will be
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mathematical approaches, algorithms and software to advance scientific research in multiple disciplines, often in collaboration with other Flatiron Centers. CCM has particularly strong research groups in
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working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze medical imaging data (e.g., ophthalmology