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or physics Generative AI/transformers, agentic AI, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and Python; best
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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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practical knowledge of statistical and programming packages is mandatory, including R, Python, and/or SQL. Extensive experience with advanced statistical techniques and algorithms, such as Machine Learning
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), obtained less than 5 years ago. Other Qualifying Skills and Abilities: Familiarity and experience with R and Python programming is essential. Experience in the analysis of next-generation sequencing data is
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for BB84, entanglement-based QKD and of free-space optical (FSO) communication Programming and instrument-control skills: e.g. Python, MATLAB, LabVIEW, for experiment automation, data acquisition and
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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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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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in Python Well-developed research skills with the ability to present research findings in oral or written format Experience or knowledge of computational best practices Experience of training staff
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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