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experience in statistical genetics or genomics research, demonstrated through a peer-reviewed publication record, and excellent programming skills (Python, R, Linux, GitHub). Experience wrangling and analysing
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English. Ability to supervise students or early-stage researchers. Affinity with data processing techniques and programming (Matlab and/or Python). Hands-on with laboratory work, skilled in experimental
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with training and using protein language models or similar experience with non-protein large language models. Expertise in python and machine learning implementations (e.g., pytorch). Expertise in other
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related quantitative discipline. Strong programming skills in Python for scientific computing and reproducible research. (Optional) Experience in time-series analysis, with explicit attention to intraday
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criteria - Computer skills, particularly in Python and C++, are necessary for the development of the analysis software. Knowledge of Git version management software is also desired. - Proven knowledge
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- Polyploidy and genomic instability - Automated image acquisition - Scientific programming (Python, Java, or MATLAB) 4. Soft Skills and Professional Qualities - Strong analytical skills - Scientific curiosity
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statistical programming such as Stata, R, or Python will be strongly considered. About the Department The Veterinary Population Medicine (VPM) department specializes in population and individual animal medicine
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of the appointment. Demonstrated proficiency in data analysis, statistical modeling, and data visualization using R, Python, or comparable analytical software. Evidence of effective scientific communication through
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, R and/or Python) for transcriptomic analysis and data integration. Experience in bacteriology and BSL-2 practices, including Salmonella or other enteric pathogen culture, serotyping/purity
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Computational Postdoctoral Researcher - Bacterial Genomics, Transcriptomics, and Single-Cell Genomic
. • Strong computational and programming skills (Python, R, Linux, and high-performance computing environments). • Demonstrated experience in genomics data analysis, evidenced by peer-reviewed publications