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to apply. Experience with data handling softwares (e.g., R, SAS, Python, Unix Shell) and genetic softwares (e.g., DMU, F90, AIREML). Background in working with Livestock data is an advantage. Can speak and
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bioinformatics pipelines in Python for the analysis of genomics and large-scale omics datasets. Work within a collaborative team with regular scientific presentations and discussions. Work Plan - Development
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, viability, cytokine readouts), and imaging/flow cytometry. Maintain rigorous records, QC, and SOP adherence for human biospecimens. Analyze/interpret data with basic scripting skills (R/Python) and
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of technical support staff or students. Experience using Python based programming tools. Desired skills/knowledge: Ability to prepare periodic updates (written and oral) for internal and external reviews
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. Strong programming skills in languages like Python or R. Professional experience in the application of Machine Learning algorithms in the mapping and correction of spatial data. Professional experience in
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including R, and Perl or Python Experience in AI/ML modeling Knowledge of genetics, next-generation sequencing, genome assembly and annotation Strong oral and written communication skills Evidence of research
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Qualifications* PhD in data science, statistics, computer science, AI, or a related field. Experience building end-to-end web applications with Python (Django/FastAPI), REST APIs, relational databases, and modern
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advantageous. Proficiency in algorithm development using Python will be advantageous Where to apply Website https://www.timeshighereducation.com/unijobs/listing/403869/research-fellow-ai-… Requirements
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Strong research background in statistical learning problems -- especially from a theoretical perspective -- as evidenced by publications Knowledge of MATLAB/R/Python Good written and oral
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include abilities in the use of scripting languages such as Python, and the statistical package R. Please ensure you read the Job Description and Person Specification for full details of this role. What we