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/Artificial Intelligence Apply for this job See advertisement About the position Position as PhD Research Fellow in Machine Learning/Artificial Intelligence for Planetary Ground Penetrating Radar available
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Job Description Position Details School of Chemistry Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130 to £45,413 with potential
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industry partners. The position will be based out of the BC Cancer Research Institute, specifically within the Quantitative Radiomolecular Imaging and Therapy Lab (Qurit.ca) with the guidance and support of
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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for an outstanding candidate with expertise in the processing, analysis and application of satellite data in environmental monitoring and management. Experience in the use of satellite data for water quality
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approaches to study mitochondrial DNA repair in Drosophila and mammalian cells. You must be ambitious and able to work independently. Applicants should have, or be near to completion of, a PhD in biochemistry
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. research Fellow will be working in the research group for Process Safety, Combustion, and Explosions. The place of employment is at our campus in Porsgrunn. The PhD position is a full-time position, and the
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advertisement About the position Position as PhD Research Fellow in Machine Learning is available in the Department of Informatics and the Norwegian Centre of Excellence Integreat . Starting date as soon as
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position that can be applied across a broad range of industrial sectors, bringing the benefits of passive linear optical superresolution to the domain of in-process control for additive manufacturing
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that come in touch with human skin can serve as vehicles for transport of diseases and their spread throughout human communities. This infection process can be mitigated by surfaces on which microbes cannot