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. These platforms will not only drive the next phases of R&D in solar cell and optoelectronic materials development but could also be incorporated as future in-line diagnostic tools on manufacturing lines. We
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administering standardised or experimental assessments. Competence in data analysis and databased management, including techniques relevant to longitudinal studies (e.g. mixed models, SEM, in R, Stata, MPlus
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assessments. Competence in data analysis and databased management, including techniques relevant to longitudinal studies (e.g. mixed models, SEM, in R, Stata, MPlus, or other suitable programme) Proven ability
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experience developing reproducible machine learning pipelines applied to complex biological datasets also experience of coding in R and python. Applications for this vacancy should be made online and you will
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cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working
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South America, and also have a scientific background that includes field-based research and macroecological modelling skills, including R coding experience. The person will possess broad experience
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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Requirements: A completed doctoral degree in chemistry, bio technology or a related field. Strong programming skills in Python, R, or similar languages. A track record of research competence and initiative
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English. Programming skills (e.g. Python, R). Ability to work in teams and high social/communicative skills. Strong interest in planning, carrying out, and presenting independant research. High commitment
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design, statistical sampling and analysis of large, multi-taxa biodiversity datasets. Expertise in landscape-level biodiversity and production analyses using R, QGIS, Google Earth Engine. Extensive