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to join a multidisciplinary team as a Research Fellow in Systems and Computational Neuroscience. This exciting opportunity is perfect for someone passionate about applying advanced imaging and computational
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years of research experience in biology or a related discipline. Publication record demonstrating computational skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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“Hydrogen storage for maritime and industrial sector.” The position is organized under the Department of Process, Energy, and Environmental Technology and reports to the Head of the Department. The Ph.D
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research, or regenerative medicine, ● Experience with cellular and molecular techniques, including cell culture, omics approaches, and imaging methods, ● Proficiency in data analysis, statistical methods
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methods Experience analysing RNAseq and/or high throughput imaging data Experience handling human post-mortem tissue Experience writing/using computer code Experience supervising postgraduate students and
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, process or discipline. May require experience with specialized software programs such as Matlab, image J, Imaris, etc. Additional Qualifications Considered The work environment is the laboratory. Physical
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and feedback. The successful applicant will work on designing and developing an architecture for modelling and simulating aggregated entity behaviours, in an event driven architecture paradigm, under
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of three topics: 1. Combining synthetic aperture radar (SAR) images with probabilistic weather prediction models to view and predict dynamic sea ice properties. 2. Using multi-frequency SAR, coupled with in
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image processing (e.g., in Matlab), and Fourier optics are desirable. Knowledge of visual optics is not required, though beneficial. The project is supported by federal funding. Rank and salary will be