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Field
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multidisciplinary teams such as the ones of European research projects: Coordination of R&D work, ensuring timely accomplishment of project objectives and milestones; Efficiently manage workflows and communications
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analysis or a related field; Background in computational biology, statistics, or data science; Experience with programming languages such as R, Python, or similar; Interest in drug discovery, metabolic
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of: An R package for path-space rejection sampling for diffusion processes An R package for Bayesian Fusion pooling inference, such as privacy Bayesian Fusion and constraint Bayesian Fusion The position is
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mass spectrometry. Training on data analysis including relevant image analysis software, statistical analysis including graphpad prism and R and flow cytometry analysis using FlowJo will also be provided
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] Cross, E. J., Gibson, S. J., Jones, M. R., Pitchforth, D. J., Zhang, S., & Rogers, T. J. (2021). Physics-informed machine learning for structural health monitoring. Structural health monitoring based
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skills (Python, R, Java, …) and interest to work in polyglot software environments Practical experience with machine learning and AI methods and an interest to learn, adapt and apply ML methods
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(ecology, taxonomy, phylogeny) Experience in the molecular lab techniques and analyses in R Experience with writing manuscripts and the process of publishing BENEFITS: 5 weeks of paid holiday yearly
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to best deal with complex survival outcomes (e.g., competing risks and interval censoring) and on the development of statistical software in the R programming language. You will also become a member of the
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-BIED-1 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Applied Artificial Intelligence Laboratory (2Ai), an R&D unit of the School of Technology (EST
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-BIED-2 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Applied Artificial Intelligence Laboratory (2Ai), an R&D unit of the School of Technology (EST