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will select, follow, and adapt specialist data analysis methodologies using R and/or Python to work with large-scale datasets. You will represent the research group at internal and external meetings and
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histology/ flow cytometry methods, familiarity with CRISPR/Cas9 or other genetic perturbation approaches* For computational scientist : previous experience with NGS data analysis; fluency in R, Python or C
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language (e.g., BASH, Perl or Python). The ability to work as an effective part of a team and to establish productive relationships with academics, researchers, technical and non-technical IT staff and
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. Python, Linux); • While strong computational skills are important, this role places particular emphasis on domain knowledge and scientific understanding in metaproteomics; • Applicants without direct
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to create working prototypes. You may be comfortable working with software such as Linux, ROS, Python etc. You will be part of a diverse team who are responsible for designing, building, programming, testing
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, Python, or similar tools for producing service reports and analyzing asset data. 3. Network Fundamentals: A functional understanding of TCP/IP networking, including DHCP, DNS, subnets, VLANs and basic
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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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. Basic programming skills (e.g. Python, MATLAB, or similar) for data analysis, modelling, or experimental evaluation. Desirable criteria Experience with continuum, soft, or flexible robotic systems
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
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considerations. Strong knowledge of Python and experience with machine learning libraries (Scikit-learn, TensorFlow, PyTorch). Industry experience in supporting/leading/training software development and AI