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Field
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(e.g. APMS) with software such as Stata, R, MPLUS, or Python. The successful candidate will contribute to publications, reports and dissemination activities, present findings at seminars, meetings and
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programming (e.g. in python). You have good communication skills (in English) and strong affinity with working in a multidisciplinary and mutli-institutional environment. Do you recognise yourself in the above
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and scored: A. Knowledge of Matlab, Python, R and/or C++ (advanced level). These will be assessed based on accredited training hours (0.5 points for every 10 hours of training, up to 5 points for each
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Matlab, Python, R and/or C++ (advanced level). These will be assessed based on accredited training hours (0.5 points for every 10 hours of training, up to 5 points for each course) and accredited project
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Qualifications · PhD in Astrophysics, Radio Astronomy, Space Physics, or a related field. · Experience with solar radio observations, space weather, or signal processing. · Strong programming skills in Python
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research is a requirement. Demonstrated competencies and skills within programming and statistical analyses (e.g., in Python, R, or STATA) are a requirement. A Background/knowledge in media technology is a
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and open team Any educational and/or research experience in the field of cryptographic implementations (coding in C, Assembly, HDL), side-channel and fault attacks (coding in Python, Matlab, lab
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proficiency (e.g., Python, Matlab, C++, etc.) Documented competence in numerical modelling, machine learning and optimisation PLEASE NOTE: For detailed information about what the application must contain, see
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or Python. Working with the workstream Co-leads and wider research team, they will contribute to analyses, publications, reports and dissemination, as well as undertake administrative tasks and present
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Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake