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Your profile The successful candidate should have strong quantitative skills (i.e., analysis, statistics and modelling), proficiency in the R programming language (of particular value if coupled with
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processing and analyzing large ecological datasets Documented experience with terrestrial laser scanning (TLS) data acquisition and processing Experience with scientific programming or scripting and
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analysis of images or volumes, e.g., in ImageJ, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. Experience in developing user
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Single cell/Nuclei RNAseq data analysis (Seurat and Scanpy) and ATACseq Bulk RNA sequencing data analysis (DeSeq2) Programming in R, python, SQL and bash 3D tissue engineering Good knowledge English
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in our subject area. The department has education assignments in engineering programs and master's programs. More information is available on our website https://kemi.uu.se/angstrom/?languageId=1
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related to the project’s themes, and of automated text analysis, is a strong merit. Further merits include experience of programming and of working with large-scale social science data, as well as
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learning, programming, and analyzing visual data. Furthermore, you have the ability to work long-term and move projects forward even when challenges arise. You enjoy working towards results and
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employment decision is made. As an applicant you should have good programming skills not only in Python but also C++ and capability to develop scalable code to be deployed on supercomputers. You should also
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successful in this role you need to have the following qualifications A university degree in a relevant technical or scientific field. At least 2 years professional Python 3 programming experience. Knowledge
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. Competence in programming in a relevant statistical software, ideally R or SAS. Competence in statistical analyses, including familiarity with regression models. Experience of project management and