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strong publication record in relevant fields Proficiency in programming (e.g., R, Python, Bash) Effective communication in English is required for daily work. After the qualification requirements, great
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initiative and multitasking ability. Bring experience in interdisciplinary research fields. Show a solid research background in cancer biology. Be proficient in Bash, R, and/or Python. Communicate effectively
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, science-led biopharmaceutical company (www.astrazeneca.com ). At the Gothenburg R&D site, there are over 2 400 employees from more than 70 countries to deliver innovative medicines. Data-driven life science
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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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, evolutionary, and biogeographical processes Proficient in modeling dynamic systems (e.g. ODE-models or IBMs) Experience in programming, e.g. in Matlab, Python, C++, R etc. A strong interest in and experience
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Python or R are required. Basic understanding of statistical analysis in large dataset is expected. Fluency in written and spoken English. Merits: Experience in applying machine learning and/or network
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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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. AstraZeneca is a global, science-led biopharmaceutical company (www.astrazeneca.com ). At our Gothenburg R&D site, we bring together over 2,400 employees from more than 70 countries to deliver innovative
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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