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: Master’s degree in biomedicine or biostatistics. Doctor of medicine degree with clinical practice experience. Certified training in R and Python software. Documented experience using machine learning and
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, collection and analysis of social media data, experience with R or Stata) is an advantage. For the assessment of personal suitability, we place particular emphasis on good interpersonal skills
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Python, Matlab, and R, and good UNIX knowledge are essential skills, as well as familiarity with biological omics data analysis techniques. Admission Regulations for Doctoral Studies at Stockholm
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learning, deep learning and relevant software framework (R and Python) is highly desired. Very good oral and written communication skills in English are required. Emphasis will also be given on personal
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language such as Python, R, C, or MATLAB Fluent in English for communication and scientific writing Merits: Knowledge and experience in: Data Science and Statistics Radio Frequency Digital Signal Processing
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Lepidoptera and plant ecology Statistics and programming (e.g. in R) The application should consist of the following (all files in PDF-format): Curriculum vitae including publication list, Master [alternatively
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from the doctoral-level education they will receive. Experience in the R programming language (or alike), statistical inference and the use of machine learning methods is a merit for the position. How
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Lepidoptera and plant ecology Statistics and programming (e.g. in R) The application should consist of the following (all files in PDF-format): Curriculum vitae including publication list, Master [alternatively
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be considered if combined with advanced coursework in cell and molecular biology and genetics. Experience working in a Unix/Linux environment, as well as documented experience in R or Python, is
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tools for end-to-end processing of next-generation sequencing data, from raw data to variant discovery (e.g., GATK pipeline). Experience with programming languages (e.g. bash, Python, and R). Experience