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is preferred. Industry experience can be an advantage, if relevant to the project. High proficiency in coding (e.g., Python, R, MATLAB, JavaScript), data management, and scientific data analysis, as
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analysis and basic coding (e.g., Python, R, MATLAB). Strong organisational skills and the ability to work independently with minimal supervision. Excellent written and verbal communication skills. Strong
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discipline (e.g., computer science, data science, software engineering) Proficient in Machine Learning, Deep Learning, Python, Data Science, and AI/ML Toolkits Preferred Applicants with Master’s or PhD Degree
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. • Proficiency in programming (e.g., Python, C/C++, MATLAB) for model development and data analysis. • Demonstrated ability to work independently and as part of a multidisciplinary team
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of machine learning and computer vision principles. Familiarity with Python and at least one deep learning framework (e.g., PyTorch, TensorFlow, or Keras). Interest in research and willingness to learn and
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to propose research ideas and hypotheses Compile and archive research materials Data collection in the field, external databases and online if necessary Cleaning and merging datasets (using R, Python, Stata
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and data analysis tools commonly used in bioinformatics (e.g., shell scripting, Python, R). Solid understanding of omics data, including metagenomics, RNA-seq, and metabolomics. Experience with
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, protection of human research subjects, vulnerable populations, informed consent topics, data and safety monitoring. Strong statistical analysis and programming skills (e.g., Python, R, or equivalent
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programming skills (e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written
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MATLAB, Python, or C++. 5. Experience with advanced ultrasound techniques such as Doppler imaging, harmonic imaging, or quantitative ultrasound is preferred. Experience in echocardiography