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recruiting for a post doctorate in the area of computer vision, image processing, machine learning, and signal processing applied to conduct high quality research with a particular focus on neuropsychiatric
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. Researches and develops case studies based on relevant subject matter or events for delivery using computer and distance learning technologies. Works in collaboration with multimedia developers to develop
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, Computer Science or another quantitative field. Strong problem-solving and critical thinking skills. Knowledge of real world application of machine learning techniques (clustering, decision tree learning, artificial
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. Additional Details: The Emory University Department of Biomedical Informatics is recruiting for a post doctorate in the area of computer vision, image processing, machine learning, and signal processing
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., virtual reality, machine learning), and biosensing technologies to develop novel methods to enhance and predict human learning and performance. The selected candidate will be expected to contribute
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are currently undetected by clinical tests. The ideal candidate should be dependable and have a positive attitude for research. The Research Specialist will be a team player who is willing to learn on the job and
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worldwide. One of seven NPRCs funded by the NIH, EPC conducts studies that make breakthrough discoveries possible. Learn more at http://enprc.emory.edu Collaborate. Innovate. Serve. These three simple words
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contribute to the diversity and excellence of our academic community. JOB DESCRIPTION: Helps design and conducts research in the field of biomedical signal processing and machine learning, while receiving
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candidate should have prior animal experience, be motivated, dependable, detail-oriented, have a positive attitude and passion for research. They should be a team player who is willing to learn on the job and
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Specialist will be a team player who is willing to learn on the job and collaborate with lab members and center members. The Research Specialist will work to ensure the highest quality of laboratory research