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in using Computational Fluid Dynamics (CFD). Experience simulating complex fluid dynamics processes, preferably multiphase reactive flows, using and especially customising CFD software is an essential
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, genomic, imaging and digital pathology data for colorectal and other cancers. You'll collaborate with cloud and software engineering teams and the e-health hub team to implement OMOP/OHDSI-compliant
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analysis of large datasets using statistical software. In addition, you will have excellent time management, planning, and verbal and written communication skills, with an aptitude for working with diverse
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machine learning/AI or cybersecurity, or both, as evidenced by a strong track record of publications in leading journals and conferences in relevant areas. Software programming skills. To be successful
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in accordance with the project deliverables and project strategy. 2. Characterisation of completed models and software and the documentation of research output including analysis and interpretation
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simulation with PSpice, LTspice, or equivalent is an advantage. Experience with developing software for instrument control and data acquisition using LabVIEW is helpful. Key Competencies Strong experimental
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data Ability to mentor and develop bioinformaticians at all stages of the analysis project workflow Desirable criteria Excellent computational skills applied to HPC, big data, software development and
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research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding
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research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding
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. IT literacy and ability to use software such as Excel Desirable Criteria 1. Postgraduate degree at PhD level in a related subject area 2. Evidence of collaborations with industry 3. Proven ability