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Field
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of the following tasks using R/Python/bash scripting, such as genome assembly, SNP calling from re-sequencing data or RNA-seq data, and visualisation of high dimension dataset. Solid understanding of genetic
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fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I projects. Duties
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R and/or Python, and used to working with large datasets and reproducible analysis workflows. Has a demonstrated ability to initiate and drive own research ideas, preferably with experience from
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for seeking the position. Extensive experience with Python, Matlab, and R, and good UNIX knowledge are essential skills, as well as familiarity with biological omics data analysis techniques. Experience with
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considered fulfilled by applicants who have acquired essentially equivalent knowledge through other means. Good programming skills in R are required. Documented knowledge of spatial statistics, stochastic
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considered fulfilled by applicants who have acquired essentially equivalent knowledge through other means. Good programming skills in R are required. Documented knowledge of spatial statistics, stochastic
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are desirable: · Experience with processing or analyzing environmental samples for pollutants is desirable. · Proficiency in statistical analyses (e.g., using R) is desirable. · A driver’s
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, conducting, and reporting scientific studies, as well as familiarity with statistical analyses (e.g., R), is also considered an advantage. You should be able to work both independently and as part of a team
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documented knowledge in the use of R, Stata or other analytical software are considered extra merit. Working knowledge of Swedish, experience conducting surveys and/or interviews as tools for data collection
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driver’s license for fieldwork. Beneficial qualifications are Experience in tree physiological measurements. Experience in fieldwork. Experience in programming / modeling in R and/or other software