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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
structure adjustment). Strong programming skills (e.g., Python, R) and experience working in Linux/HPC or cloud computing environments. Evidence of scholarly productivity (publications or substantial research
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sequencing) Familiarity with statistical analysis or bioinformatic software (R, Python, QIIME2, BLAST-based workflows etc.). Scientific writing (i.e. thesis chapters, manuscripts.) Stipend $74,678.00 Yearly
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the start of employment, in bioinformatics, computational biology, computer science, data science, statistics, systems biology, or another relevant discipline Strong programming skills in Python and/or R
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, or regional-scale resource-flow data. Expertise with LCA/MFA tools, databases, or methods; experience with software such as SimaPro, openLCA, Brightway, Python, R, GIS platforms, or related analytical tools is
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scientific programming languages (e.g. Python, R) is also valued; familiarity with international macroeconomic and trade data sources, such as UN Comtrade, UN Official Country National Accounts, or comparable
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, with desirable skills including building or aligning bespoke systems. Strong programming and data-analysis skills (e.g. Python and/or MATLAB) for processing signals and imaging data. The ability
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with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and
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to lift and operate heavy equipment (at least 50 lbs) in hot, dry field conditions. Ability to engage with, process, and integrate diverse data streams. Coding experience (Python preferred, but others
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microbiology. Proficiency in microbial isolation and cultivation, functional screening, gene editing, and NGS library preparation. Computational Skills: Strong bioinformatics capabilities. Proficiency in Python
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Experience with population genetics or statistical genetics Familiarity with Bayesian methods, probabilistic modeling, or graphical models Experience with scientific computing in Python, JAX, Torch, Julia, C