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Field
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-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events. Brookhaven National Laboratory requires all non-badged personnel
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managing and working with complex, high-dimensional datasets, ideally in the life sciences, and should be comfortable using open-source data management and analysis tools (e.g., R, Python, SQL, or similar
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., epidemiology, applied mathematics, statistics, or network science) by the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or
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organizational infrastructure and they must be able to maintain the security and integrity of the infrastructure related to this role. Knowledge, Skills and Abilities R programming, Linux/Unix-based operations
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). Strong analytical skills including demonstrated proficiency with data integration, R, NVivo, and/or other relevant quantitative and qualitative statistical analyses/programs. Experience designing, planning
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quantitative biomedical sciences. Experience with R and/or Python packages Experience working with Linux, including shell scripting Preferred Qualifications: PhD or MD/PhD degree in Bioinformatics, AI machine
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learning, or hydroinformatics. • Strong programming skills (e.g., Python, R, MATLAB, TensorFlow, PyTorch, or similar). • Excellent communication skills. • Strong publication record in relevant fields
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organisational and time management skills, including ability to prioritise workload and work to deadlines. Desirable criteria Coding skills and experience in one or more open-source languages (e.g. Python, R
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Duties Designs and conducts histology and imaging analysis in animal models. Uses computational tools (R, Python, BLAST) for data analysis. Writes research papers for peer-reviewed journals. Presents
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., epidemiology, applied mathematics, statistics, or network science) by the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or