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programming and data analysis, including fluency in R and/or Python Experience in managing code repositories Record of scientific initiative and creativity in research or development activities Capable
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programming languages such as Python and C++, as well as experience with machine learning frameworks like TensorFlow or PyTorch Familiarity with image processing libraries and a solid grasp of deep learning
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programming languages such as Python or R and data-analysis platforms for genomics, proteomics, and transcriptomics. Excellent project management skills. Ability to multitask and work within timelines. Capable
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graduates are also welcome to apply) Strong programming skills in Python with experience in data manipulation, analysis, and machine learning libraries Demonstrated experience in applying advanced AI/ML