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learning methods, with strong analytical and programming skills (e.g. R or Python) Experience of undertaking accurate, reproducible data preparation and analysis A track record of peer-reviewed research
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, or other omics data analysis approaches Programming skills in R, Python, or equivalent Ability to work independently while flexibly contributing actively to an interdisciplinary research team
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serious games for research is considered an advantage. Experience or training in programming languages (e.g., R or Python) for data-analysis and willingness to develop these skills is considered
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Reality (VR) environments is also considered beneficial. Experience or training in programming languages (e.g., R or Python) for data-analysis and willingness to develop these skills is considered
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astrophysics is considered as an asset Proficiency in computational methods, programming (e.g., Python,..) and data analysis Mentoring of less experienced team members (i.e. students) Ph.D. degree in nuclear
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an advantage skills in electronics, e.g., RF electronics, MRI coil design, gradient coil design, etc. programming skills with MATLAB, C/C++ or Python skills and experience in manufacturing methods, such as 3-D
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research, fluency in English and good communication skills are expected. We expect good programming (e.g., Matlab or Python) skills and prior experience in space physics research. Prior experience in using
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of high-quality scientific publications, experience working with real-world health data is a plus Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms
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Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data
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or programming software (e.g. Stata, SAS, R or Python) Experience of advanced longitudinal modelling, including time-to-event models, mediation analysis and causal inference approaches Excellent communication