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on documented qualifications regarding programming, machine learning, AI tools for image analysis. Knowledge of Python, Matlab, C/C++ or similar programming language is an advantage. Consolidated experience with
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, or a related field is required. Ability to generate ideas and perform independent research is essential. A strong computational background and ability to work with UNIX and code independently in Python
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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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Proficient in Python Good knowledge of database modeling Excellent communication skills in English Preferred Qualifications Knowledge of Ruby programming Experience of both frontend and backend development
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, engineering physics, biomedicine, or similar Documented skills in data-driven analysis (machine learning using python with TensorFlow, PyTorch, or similar) and computational statistics Specific knowledge of big
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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
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and/or transcriptomics data Practical experience of working in Python and/or R, and Git Practical experience of working in computational cluster environments Knowledge of tumor and immune biomarkers
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. Experience in implementing numerical methods and algorithms, e.g. in Python, Matlab or similar, is required. A strong motivation to develop mathematical tools for biological and medical applications is