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Field
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interpreting Next Generation Sequencing (NGS) and genomic data. Experience with shell scripting (Bash), and at least one high-level programming language (Python or R) is essential. A sound knowledge of soil
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machine learning. The work will require solid programming skills, especially in Python and Julia. We expect the candidates to have: MSc degree in physics, materials science, chemistry, mathematics
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simulation or programming tools such as MATLAB, Simulink, MATSim, AnyLogic, or Python. Applicants should also have a good knowledge of decarbonisation and sustainability principles in transport, energy systems
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such as MATLAB, Simulink, MATSim, AnyLogic, or Python. Applicants should also have a good knowledge of decarbonisation and sustainability principles in transport, energy systems or manufacturing. Excellent
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management/administration processes Desirable Experience working with Drosophila, live calcium imaging, Matlab/Python programming and/or behaviour A good publication record in neuroscience. Further details
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London School of Economics and Political Science; | London, England | United Kingdom | about 1 month ago
statistical tools (R and/or Python). Develop and conduct optimisation modelling (e.g. electricity market and grid dispatch). Assist in literature reviews and summarising academic research. Contribute to writing
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such as MATLAB, Simulink, MATSim, AnyLogic, or Python. Applicants should also have a good knowledge of decarbonisation and sustainability principles in transport, energy systems or manufacturing. Excellent
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pipelines for genomic data analysis, and of programming languages such as R, Python, or Bash script is essential, as is experience of working with High Performance Computing. Time management skills
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, analytics, and software development, ideally using tools such as Python or similar platforms. Experience developing dashboards or visualisation platforms (e.g. Grafana, Power BI, or web-based frameworks
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will select, follow, and adapt specialist data analysis methodologies using R and/or Python to work with large-scale datasets. You will represent the research group at internal and external meetings and