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skills, preferably some experience with PyTorch. Ideally, knowledge in computer vision and object detection/segmentation. Motivation to independently delve into new and current research topics. Willingness
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• Plan and deliver orientation and ongoing program sessions • Facilitate peer learning and discussion among participants • Update and adapt program materials and resources • Communicate relevant
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vision for extracting complex patterns, structure, and meaning from images and/or volumes; and (4) new mathematics and algorithms leading to new applications of machine learning and artificial intelligence
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respond to individuals who may be angry or upset. Ability to efficiently use computer system applications for all functions required for this position, including electronic mail, spreadsheets, word
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similar to Aims students. Ability to teach using methodologies that support a student-centered learning environment. Computer literacy and the ability to use computer technology in classroom/lab instruction
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of the mission, vision, role, and goals of the administrative department. The Program Coordinator II will carry out routine and semi-routine work within work parameters for the Center and under general supervision
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and on the telephone; and to effectively respond to individuals who may be angry or upset. Ability to efficiently use computer system applications for all functions required for this position, including
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supporting program launches, relaunches, or significant curriculum changes. Experience advising students and managing mentor relationships; familiarity with experiential learning is strongly preferred
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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to develop novel machine learning methods to improve malware detection. The doctoral student position is offered within a research project financed by the Wallenberg AI, Autonomous Systems and Software Program