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with computational analysis (Python or R and HPC environments), and a demonstrated, strong interest in genomics and/or polyploidy. Experience in DNA repair assays, cytogenetics, plant functional genetics
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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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, genetics, plant biology, or a related field, and have documented familiarity with computational analysis (Python or R and HPC environments), and a demonstrated, strong interest in genomics and/or polyploidy
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should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous
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academic track record proficiency in programming (preferably in Python), personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving
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should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous
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degree, obtained within the last three years before the application deadline. Programming skills in Python and data analysis. Track record of scientific publications in international peer-reviewed journals
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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a
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for the project. Have documented programming experience in R, Python or other common programming languages. Have experience of quantitative analysis, computational modelling, bioinformatics, machine learning