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assessed according to the following weights and criteria: - Quality of the Curriculum - Proven knowledge of imaging data analysis software (20%); proven programming skills: Matlab, Unix, Python (20
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record, the candidates' academic performance will be assessed according to the following weights and criteria: - Quality of the Curriculum: Proven programming skills: Matlab, Unix, Python (30%), Relevant
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(spoken and written), academic excellence, autonomy, curiosity, and attention to detail. Resumes demonstrating knowledge of programming in Python and/or Matlab; computer vision, image processing, learning
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(spoken and written), academic excellence, autonomy, curiosity, and attention to detail. Resumes demonstrating knowledge of programming in Python and/or Matlab; computer vision, image processing, learning
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for the analysis of complex experimental data; • Development and implementation of strategies for multiomics data integration and systems biology; • Use of Python and R for statistical analysis, machine learning