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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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, or a closely related field. Proficiency in analysing large climate and environmental datasets using statistical or programming tools (e.g., Python, R, MATLAB). Capability of both managing research
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survival surgery, two-photon microscopy and analysis, patch-clamp, intracranial EEG monitoring and analysis, optogenetic techniques, mouse models of epilepsy. Coding skills (Python). Baylor College
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in systems neuroscience. Ideally you would have experience with mouse behaviour and/or Neuropixels recordings and analysis, as well as with opto/chemogenetics. Being a pro with Python/MatLab helps
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. Qualifications Strong quantitative training, including coding skills in R and Python, and satellite imagery analysis. Good communication skills in English. Ph.D. or foreign equivalent in geography, remote sensing
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neurogenetics of Drosophila. This requires expertise in setting up and analysing behavioural tests, using appropriate analytical methods and software and skills in coding in e.g. R, MatLab, R, Python, as required
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Microsoft Word, Excel, Access and PowerPoint. Preferred Qualifications Proficiency and knowledge of multiple statistical software packages preferred, such as SPSS, SAS, R, Python, etc. Experience with ML/DL
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preferred. Knowledge of statistical methods, programming (e.g., Python, R), and data quality assurance techniques. Proven ability to work collaboratively in an interdisciplinary environment and engage with
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, and Python to process vector and raster data for agronomic decision-making - Documented experience with producing educational communications and programming - Demonstrated ability to effectively
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superb quantitative background, strong coding skills (e.g., Python, R), expertise in infectious disease modeling across multiple pathogens, expertise with large datasets and statistical analysis, and high