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, curation, and sharing. The candidate will use tools such as SQL, Python, and GitHub to create and maintain novel solutions for data curation, organization, and dissemination to support cutting-edge research
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methods for calculating breast cancer screening rates across two systems. They should have advanced expertise in SQL and have experience using statistical or programming packages like R or Python
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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Python and AI-enabled methods to extract, classify, and summarize insights from unstructured data, including text, images, and other digital content. This work will help BSA detect trends, measure impact
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settings. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): NGS data. Proficiency in Python and/or R for data analysis and pipeline development. Experience working in a Linux/HPC environment, including job
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reporting and data insights Desirable: Experience with HR or workforce data Experience in a large or complex organisation, ideally within higher education Exposure to tools such as Python or R Role
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): Bachelor's degree or higher in Computer Science, Software Engineering, or a closely related engineering discipline, with relevant professional or research experience. Extensive experience with Python software
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, SKILLS AND ABILITIES (REQUIRED): Demonstrated experience in cancer genomics, including analysis of somatic alterations (SNVs, CNVs, and/or SVs) from NGS data. Proficiency in Python and/or R for data
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. Preferred Qualifications Bachelor?s degree in Physics. Other Requirements Experience with Python, C++ and Root. Excellent written, verbal, and interpersonal communication skills. Ability to maintain high
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or equivalent Skills/Qualifications Conocimientos de programación (Python). Empleo de herramientas de modelización numérica geotécnica (FLAC, PFC). Specific Requirements Conocimientos en Ingeniería Civil