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, Bioinformatics, Computer Science, or similar Knowledge in bioinformatic analysis tools, Linux, Bash scripting and at least one of the following languages: Python, R Familiarity with plant transcriptomics
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degree in Information Systems, Computer Science or related field plus at least 1 year of relevant experience to include: Experience in Python Developing web applications using modern open-source JavaScript
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technology. Documented experience in data-driven urban energy modeling with Python and machine learning as well as experience in administrative tasks is also an advantage. Terms of employment The employment is
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instrumentation, measurement systems, and data acquisition Good skills in signal processing and image processing Proficiency in at least one scientific programming environment (Python or MATLAB) Basic knowledge
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Benchmarking or deaR (DEA) lm / glm (regression) Python Libraries pandas, numpy, statsmodels pyDEA (for DEA)
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, education, and/or experience. Required Certification, Licensure/Other Credentials Preferred Qualifications Technical Expertise: Proficiency in R or Python for longitudinal modeling (e.g., Latent Growth Curve
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proficiency in programming languages (e.g., Python, C/C++), knowledge of control algorithms and/or existing architectures (e.g., ArduSub, ROS2) for autonomous navigation, and the ability to develop innovative
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of extracted experimental parameters Design and execute Python-based scripts to infer derived parameters and standardize units and formats Integrate external databases and online resources to enrich curated
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also code in R and Python, all of which will lead to their work on developing their own research question, running data analysis, writing an abstract and presenting a poster. Additional Information
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include cloud based Trusted Research Environments (TREs.), Microsoft Azure, SQL, Python and Git. You will be based within the Faculty of Health and Life Sciences, reporting to the CHIL CTO, and will work