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well as building on and further developing the datasets and codes from the PePrMInt project (Cf https://doi.org/10.1371/journal.pcbi.1010346 ). Qualifications and personal qualities: Applicants must hold a master's
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management and storage in line with Good Clinical Practice ensuring integrity in research databases, quality control and ethical standards. Align with and actively demonstrate the Code of Conduct and Values
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-based code optimisation. You will develop novel techniques that harness the power of machine learning to create optimisation strategies for compilers and memory management libraries for next-generation
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to the IU retirement benefit package. We are interested in exploring the novel functional dimensions of human long non-coding RNAs (lncRNAs) in regulating human cardiovascular development, metabolism
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nearby genes and how this promotes development. A subset of these retrotransposons splice with nearby protein coding genes, generating embryo and species specific 'chimeric transcripts' that form hundreds
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. Experience in Python code, Matlab, and LabChart. Knowledge of cardiovascular physiology. Department Contact for Questions Miranda Lockwood, SHRM-CP Human Resources Business Partner mjlockwo@iu.edu Additional
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qualitative software (such as NVivo) to manage and code data Apply knowledge in a way that develops new understanding of dementia care delivery Support co-design activities with stakeholders in community-based
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the novel functional dimensions of human long non-coding RNAs (lncRNAs) in regulating human cardiovascular development, metabolism, function and disease. These new lncRNA functions include the broad
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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences
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experience coding within Unix-based HPC environments, and a background in MATLAB and Python programming languages would suit working with our existing code base Emphasis is also given to personal suitability