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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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programming skills (e.g. Python or similar) and data‑workflow design; an excellent track record of research dissemination; and the ability to work effectively in an interdisciplinary and international team
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techniques is preferred. Proficiency in programming languages such as Solidity, Python, C/C++, or Java. Familiarity with decentralized platforms (e.g., Ethereum) and related tooling is a plus. Good publication
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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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and programming skills, namely in the use of MATLAB and Python. Candidates who do not meet these requirements will be excluded. Additional optional skills and qualifications: Proven experience in
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Benchmarking or deaR (DEA) lm / glm (regression) Python Libraries pandas, numpy, statsmodels pyDEA (for DEA)
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, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition/analysis) Familiarity with surgical techniques or willingness to be trained in rodent survival
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techniques including image formation and motion compensation. 4. Conduct modeling and simulation of radar systems and signal processing chains using tools such as MATLAB or Python. 5. Analyze radar datasets
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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
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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