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Field
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The following is a listing of typical duties that may be applicable to the position: Developing, testing, and analyzing research projects based on application expertise and interest; Aiding in the development
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important dimension of all research. RESPONSIBILITIES The appointed researcher is expected to pursue an independent research programme on methodological innovation in applying AI to qualitative social
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addition to providing a strong foundation in body imaging, this training program will allow fellows to become proficient in imaging performed for the selection, planning and monitoring of treatment in cancer care
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, and desire to be surrounded by faculty and staff who are committed to transforming the public and population health care system in the U.S. Our program prepares Research Scientists to design, implement
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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two or more of the above areas is a plus. Also, hands-on experience with design and prototyping of complete computing systems will be considered a plus. Special Instructions Please pay close attention
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could help in this case. Also, data management is important to improve the efficiency of solutions. Job Requirements: Preferably PhD in Computer Science or related field. Expertise in computer programming
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record in computer science, digital innovation and forensics, and internet surveillance. Experience working in collaborative, interdisciplinary teams, particularly in projects that integrate biology, data
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. You’ll help position the UK’s Creative Industries at the forefront of global innovation. Benefits Include: Generous annual leave Training and development opportunities Pension scheme with strong employer
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of deliverables. Lead the design, fabrication, and characterization of conductive polymer fibers and their integration into wearable sensing and thermoregulation devices. Programme experimental protocols, data