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Python, R, Java, or Matlab. Desirable: Experience of research in analysing healthcare data (e.g. EHRs). Evidence of collaboration with industries, policy makers, or institutions. Demonstrable ability
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, Python, or similar tools Experience analysing economic, financial, or policy-related datasets Proven ability to analyse data and write-up results Ability to work both independently and collaboratively
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Virtual Desktop, Active Directory, Entra Scripting and query languages such as PowerShell, KQL, SQL, and Python. Application packaging, Automation and device remediation. You will have a proven track record
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-economic considerations supporting equitable LCT deployment Experience working with Distribution Network Operators or Utilities on research, innovation or consulting projects Experience working with Python
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and its application Demonstrable hands-on experience with Big Data frameworks such as Apache Hadoop, Spark or Kafka for processing distributed datasets. High level of proficiency in Python Experience in
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for diagnostics and therapy Conduct comprehensive bioinformatic analysis utilising established methodologies and tools (e.g. R, Python, MATLAB and other relevant bioinformatics software packages) Collaborate
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) Desirable Skills in bioinformatics (e.g. knowledge of Matlab, R, Python) Experience of imaging mass cytometry (IMC) and associated analysis Single cell RNA-seq Experience of working with complex 3D culture
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and Experience Strong statistical analysis and data handling skills Understanding of data structures, data modelling and data management Ability to write robust, reproducible code in Python or R
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Key Accountabilities Design, build, and maintain backend features in Python as part of OpenScan’s core infrastructure. Contribute to ingestion, crawling, and data processing pipelines. Work with NoSQL
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familiar with spatial analyses, species distribution modelling (SDM), and programming in the R or Python languages to apply these to: Collate and analyse spatial data on MPA boundaries, their protection