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Field
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, formal and informal Preferred Qualifications: Record of impactful scientific publications Experience designing and carrying out synchrotron x-ray experiments Proficiency with scientific software
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univariate and multivariate statistical analysis methods and with bioinformatics tools, including MATLAB, SIMCA, R, Python, MetaboAnalyst, KEGG, Ingenuity Pathway Analysis and other software related to omics
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and skills in algorithm design and implementation. The candidate should have a background in machine learning and experience is welcome in common software libraries such as Pennylane, Qiskit or similar
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methods and software, including uncertainty methods, spatialized approaches, and integration with dynamic modeling frameworks. Experience applying or developing mechanistic animal models, and/or whole farm
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software such as R, Stata, or Python is essential. You will be based in the Radcliffe Primary Care Building, Nuffield Department of Primary Care Health Sciences, Woodstock Road, Oxford, OX2 6GG as your
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, Experience in ultrasonic medical imaging and acoustic wave propagation modelling in biological tissues and the human body. Familiarity with ultrasound simulation tools such as k-Wave or equivalent software is
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experimental design, statistical analysis, and big data analysis Proficiency with data analysis software (e.g., SAS, R) Demonstrated record of peer-reviewed publications and effective research communication
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could develop the algorithms, models and software that: design and simulate self-assembling DNA nanostructures and molecular machines; turn artificial molecular networks into images — reconstructing where
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or ethnic origin. View MIT Policy on Non Discrimination and EEOC’s Know Your Rights . Employment is contingent upon the completion of a satisfactory background check, including possible verification of any
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techniques. Implement computational methods in scientific software. Collaborate within interdisciplinary research teams. Present research results at international conferences and publish in leading scientific