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Field
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analysis of single-cell and genomic datasets, including scripting and pipeline development in R and/or Python. • Contribute to the development, testing, and maintenance of reproducible software tools and
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these areas commensurate with career stage. Experience of FORTRAN and python programming. Previous experience in developing and using parallel computer codes using the Message Passing Interface (MPI). This is
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design for mechanical components, electronic prototyping, and Python programming would be beneficial; Experience with embedded system development, particularly programming MSP430 microcontrollers in C, is
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health research, or related fields. Substantial Experience in R, python or other relevant computational languages. Experience with single-cell RNA sequencing and/or ATAC-seq. Demonstrated experience
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, Siemens MR IDEA Image Calculation Environment (ICE), Python and MATLAB, and deep learning techniques are considered assets A strong publication record demonstrating research excellence. A minimum of one
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-on programming skills in R and Python, acting within server-side development environments such as RStudio, JupyterLab, and RSConnect, and will document development decisions and contribute to knowledge-sharing
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STATA, R, SAS, PySpark and Python Previous experience in the management and analysis of linked health data, the production of statistical analysis plans and the use of GitHub Demonstrated ability
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, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and MPlus. · Acquires Specialized Training. Attends trainings and skill development workshops as necessary
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Strong command of behavior cloning, reinforcement learning, or related learning-based manipulation methods Proficiency in Python and modern deep learning frameworks (e.g., PyTorch) Proven ability
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. • Programming or scripting skills (e.g., R, Python, bash). • Excellent written and verbal communication ability in English. English requirements for applicants from outside of EU/EEA countries and exemptions