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Field
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such as RNA FISH probe generation followed by imaging at the Imaging core, 3) RNA secondary structure analysis with methods such as FISH 4) RNA functional genomics with methods such as massively parallel
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of clinical fellow appointments, including visa sponsorship and the coordination of fellowship application and interview processes. Additionally, this role oversees and maintains the call schedule within EPIC
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needs, we may support flexible and hybrid work arrangements. Options will be discussed during the interview process? Responsibilities The division runs several research projects in parallel. The candidate
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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learning–based data processing of calcium imaging recordings, high-dimensional data analysis, and computational modeling that links neural activity to behavior. For interested candidates, there is also an
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. The goal of this work is to understand how neural circuits drive behaviors such as navigation and state-dependent responses. This role involves deep learning–based data processing of calcium imaging
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several projects in parallel Ability to work collaboratively in a team as well as independently on a wide variety of research projects Excellent communication skills Detail-oriented, focused, and highly
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
mathematics, or a related field Candidates should have expertise in two or more of the following areas: Uncertainty quantification, numerical solutions of differential equations, and stochastic processes
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of robotics instrumentation, building, designing, and testing automated systems to improve operational processes, utilizing AI-based machine learning models to ensure smooth running of diverse protocols, data
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in AI to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems. Appointments will be