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research Strong mathematics background for optimization and analytical modelling of complex systems Programming languages including C++/Python and script languages For informal queries please contact
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modelling. Experience in cybersecurity, including vulnerability assessment, threat detection, and incident response. Proficiency in programming languages such as Python, Java, or C++, and experience with AI
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. The candidate will also have experience of psychophysiological methods, preferably EEG or MEG, and strong quantitative and programming skills in time series analyses using Python/MATLAB (or equivalent
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from Non-Destructive Testing methods, Interferometric Synthetic Aperture Radar (InSAR) or similar, using software tools such as MATLAB and Python amongst others. Prior hands-on experience in optical
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Python, Java, or C++, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, FLOWER). Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and on-premise cloud platform such as
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development (e.g., RNA-seq, single-cell RNA-seq, exomes). An expert level user of HPC infrastructure / Linux systems and Able to implement key R and / or Python packages. Track record of publications
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Python packages. An expert level user of CADD software e.g. MOE or Schrodinger. Track record of publications commensurate with stage of career. Experience in lab project supervision. To be successful
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/Python. E Ability to develop and execute a coherent plan of research (with support). E Commitment to Open Science practices. E Demonstrable research interests in race/ethnicity and/or social determinants
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, and simulation. Strong programming skills (Python, MATLAB, or C++). Excellent problem-solving skills and a collaborative mindset. Experience with micro-Doppler or range-Doppler radar analysis
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partners. A good working knowledge of programming tools like MATLAB or Python, and familiarity with aircraft systems modelling, artificial intelligence applications, and simulation tools will be highly