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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 interactions
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physiology Coding proficiency (e.g., Python, R) and familiarity with deep learning tools are strong assets A strong publication record, critical thinking, and collaborative mindset Application Instructions
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code are transparent, well-documented, reproducible, and openly shared with the scientific community. The role also offers opportunities to contribute to teaching and training activities across
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High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Demonstrate Linux expertise including file systems, shell, hardware
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-intensive field Proficiency in Python (or R), version control, and clean code practices Experience with omics data analysis and integration Hands-on expertise in developing and fitting executable models
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, prognosis, and predictive responses to chemotherapies and targeted drugs. 2. Study the genetic and epigenetic basis of GI cancers (e.g., aberrant DNA methylation, histone modifications, and non-coding RNAs
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inflammatory bowel disease (IBD) which is located on chromosome 5. The associated locus lies within an uncharacterised long non-coding (lnc)RNA and exhibits strong activation-dependent enhancer activity in
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coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience in analyzing
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the form of teaching and similar work at the department. We can offer Exciting development opportunities as part of your role in a strong professional environment Salary NOK 660 000 (code 1352) in the state
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off: 30 days annual leave per year in addition to public holidays Campus life: Free shuttle bus to and from work (Heidelberg), on-site library, subsidised on-site gym and cafeteria, casual dress code