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, cybersecurity, computer networking, machine learning, AI, ERP and cloud computing Conduct research with colleagues. Strong data analytics skills, including the ability to work with large sets of structured and
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
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will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the
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. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity
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objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms (50%). PhD in computer science, engineering
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possible. We strive to ensure the diversity of our candidates, and we reflect this ethos in the way we promote the ICRF programme and in our recruitment and selection process. Imperial’s diversity networks
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also be offered, including guidance in writing grants and papers, assistance in building a professional network, supervising trainees, and support in advancing to the next career stage. This is a one
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benefits information here. Explore the additional perks of working at CSU here . For the total value of CSU benefits in addition to wages, use our compensation calculator . Lastly, click here for more
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our 138m Boldrewood Towing Tank and Iridis research computing facility . You will receive mentoring and technical guidance from the project’s academic leads, Dr. Tahsin Tezdogan and Dr. Nicholas
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program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc.) during medical imaging and