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research within a team, and proven ability to build collaborations. Proficient in programming with Python, Java and SQL and testing using open-source tools. Understanding of database and data analysis
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Data analysis The use of industry-relevant tools is highly desirable, including: Python / NumPy MATLAB Simulink / Simscape In addition to lecturing, you will: Contribute to the supervision of Year 3 and
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web services. Experience programming/scripting experience in PL/SQL, Powershell, Linux shell, Java, and/or Perl, Python, JavaScript. Experience working with identity management within a complex
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of programming languages such as ROS and Python Excellent communication skills, written and verbal – able to communicate complex concepts clearly and accurately We regret to inform you that only shortlisted
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bioinformatics, computational biology, or related field. Strong experience with NGS data analysis and scripting (Python/R). Familiarity with immune repertoires, protein sequence analysis, and HPC
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, epigenomics, or transcriptomics Basic experience in computational biology or familiarity with bioinformatics tools (e.g., data analysis pipelines, R/Python, or multi-omic data interpretation) is advantageous
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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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Strong hands-on experience in bioinformatics Excellent programming skills in R and Python Proven experience in the analysis of next-generation sequencing (NGS) data Practical experience in several
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: Good programming skills in C++ or Python Working knowledge of ROS Publication experience Who we are The Artificial Intelligence in Robotics (AiR) group, led by Dr Andriy Sarabakha, focuses
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, completed prior to the start date; Experience working with the scientific Python ecosystem (NumPy, SciPy, Matplotlib, etc.) and with databases (SQL, etc); Experience with collaborative version control systems