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related field. You have skills and experience with quantitative modeling, data analysis, programming languages (e.g., R, Python or Java) and optimization tools (e.g., Cplex or Gurobi). Affinity and proven
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analysis and statistical evaluation. Proficiency in computational techniques or programming (e.g., MATLAB, R, or Python). Willingness to conduct measurements outside regular office hours or on weekends
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Operations Research, Applied Mathematics, Industrial Engineering or a related field. You have skills and experience with quantitative modeling, data analysis, programming languages (e.g., R, Python or Java
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strong analytical background and experience with software to analyse ecological data (e.g. R, Python) The ability to coordinate and mobilise people (including volunteers) to work towards the project
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similar; Proven experience with statistical analysis of large datasets and/or dynamic crop modelling; experience with scripting / programming is required; skills in R and/or Python are an advantage; Proven
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experience in astronomical data processing and data analysis. Experience with crowded field photometry and knowledge of Java and Python will be an advantage. The appointment is for a period of three years and
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background and experience with software to analyse ecological data (e.g. R, Python) The ability to coordinate and mobilise people (including volunteers) to work towards the project objectives It would be
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and Ribo-seq data. Have experience with downstream data analysis and data visualisation. Are fluent with R and/or python and know how to work in an HPC environment (e.g., slurm). Other programming
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to perform within project timescales. You should have project management skills demonstrable from previous project experience. Competences in data analytics, machine learning / AI (for example in Python and
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(for example in Python and relevant machine learning libraries), as well as interest and ability to expand such competences. Experience with programming for data management and data integration would be