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Field
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development, data analysis and inference, and image analysis ▪ Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and
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Requirements: PhD in geophysics, geology, geomatics, geodesy, geomatics, electrical engineering, computer science, natural hazards, or a related field Demonstrated skills in remote sensing, image processing
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applications in linkage with incubation and start-up ecosystems. About ACER The centre has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create
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from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at advancing the multi-robotic wire-arc directed energy deposition technology and
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Crick Institute is Europe’s largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as
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opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of
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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
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Cancer or Molecular Biology, Genetics, Drug delivery, Bioinformatics, Biostatistics, Computational Biology, or other closely related biomedical field from an accredited University (based on funding
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous