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Field
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with a strong background in molecular virology, next-generation sequencing, Bayesian analysis, phylogenetic analysis, statistical genetics, and the ability to use R and/or UNIX/command line applications
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spatial transcriptomic data using R or Python; interprets findings in the context of transplant immunobiology. Establishes new research protocols and procedures: Develops and optimizes protocols
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team
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Excellent skills in statistical modelling, preferably using R Proven track record of publishing in international peer-reviewed journals as first author Willingness to conduct fieldwork and participate in
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. Supporting the largest radioisotope production and research portfolio within the Department of Energy (DOE) Office of Science for Isotope R&D and Production, as well as extensive isotope production programs
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self-regulation (S-R) to influence public policy and pre-empt statutory regulation. The postdoctoral researcher will primarily contribute to Work Package 2 (WP2) and Work Package 3 (WP3), which focus
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. Programming skills in R is a requirement, and programming skills in dynamic modelling in other languages is a merit. Fluency in spoken and written English is a requirement. Qualifications: PhD degree in ecology
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. Experience with large-scale omics data analysis and programming (R or Python). Proven track record of high-quality publications. Experience with molecular biology techniques (e.g., cell culture, CRISPR, NGS
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publications), and or other textual data Knowledge of, or strong interest in AI, digital technologies, and their applications Proficiency in programming languages (e.g., Python, R) and data analysis Ability
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text