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PhD in biology, cognitive sciences, computational neuroscience, bioinformatics, robotics, or a related field Strong expertise in computational data analysis (e.g., behavioral analysis, signal processing
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data collection in pig studies in collaboration with investigators, veterinary personnel, imaging staff, and other research team members. Develop and apply methods for processing and analyzing MRI, EEG
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Proactive approach to tasks Ability to complete assignments by a deadline Stipend $750.00 – $1,250.00 Weekly Point of Contact Abby Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Bachelor's
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, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, signal processing, or a closely related discipline. Strong expertise in machine learning and deep learning
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an internal employee, your current contract is the starting point. Ask your HR Business Partner about your situation specifically. We encourage development and internal mobility within our organisation. Our
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that allows for the decoding of the continuous EEG signal into a sequence of cognitive event labels, and (3) apply this to data of expertise development. The intended duration of the project is 2 years
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=VUdBLjQ4NzUzLjk5MDhAdWdhLmFwbGl0cmFrLmNvbQ Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications mechanics, signal processing, field work, laboratory experiments, theoretical modelling, rivers
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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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. The project will focus on integrating quantitative and textual information, accounting for structural shifts in measurement processes over time, and developing scalable inference for high-dimensional settings
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operation, investment, and consumers. The project will produce new knowledge on electricity market design, system-level cost assessment, and demand-side flexibility, as well as new datasets, modelling methods