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of R or Python), along with writing, presentation and communication abilities. Prior experience working with computing clusters or remote servers is desirable. The fund would be available from 1st
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learning libraries and toolkits comfortably Strong software development skills with programing experiences in Python, C++, and/or Fortran Good communication and writing skills in English. Desirable
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sufficient specialist knowledge in transcriptomics and NGS sequencing as well as the essential computational skills (R, Unix or Python) to develop research programmes in this area, and familiarity with
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. Strong programming skills with proficiency in Python and/or C++, and practical experience with deep learning frameworks such as PyTorch or TensorFlow. A track record of high-quality research outputs
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neural networks for multimodal image analysis will be essential, as well as expertise in Python and C/C++ for scientific computing, and in ML/DL frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn
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or similar, obtained by the start date Experience in modeling using Python, MATLAB or similar Basic programming skills Proficiency in scientific English (written and spoken) Willingness to spend several months
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statistical modelling, Solid skills in computer programming for data science (e.g. R, Python), Experience with real-world data analysis tasks, Good communication skills in English, both verbal and written
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of COMPFOR 131, an introductory course on the Python language aimed at students pursuing natural science majors. The instructor would also teach an additional course, either a section of an existing COMPFOR
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Proficiency in data analysis tools (e.g., GraphPad Prism, R, Python, ImageJ) Other Qualifications To the extent this position requires the holder to research, work on, or have access to critical infrastructure
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competitive grant applications. Present findings at scientific conferences and departmental meetings. Knowledge, Skills and Abilities Demonstrated expertise with statistical software (e.g., R, Python, SAS) and