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to neural time-series and imaging data using MATLAB tools and python. Design, develop, and implement computer algorithms and software for analyzing multimodal neural data, including EEG and optical imaging
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at the Kansas Geological Survey (KGS), a research and service unit at the University of Kansas , and will be co-supervised by Jim Butler (https://kgs.ku.edu/people/james-j-butler-jr ) and Geoff Bohling (https
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possess strong quantitative skills (e.g. Matlab, C++, Python). The term of this appointment is one year with the possibility of renewal contingent upon satisfactory performance and continued funding
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information about the department/division: https://www.slu.se/institutioner/vaxtbiologi-skogsgenetik/ Read more about our benefits and what it is like to work at SLU: https://www.slu.se/om-slu/jobba-pa-slu
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community. We are committed to excellence, providing unparalleled expertise, and maintaining a world-class standard in service. Please visit us at: https://fs.ucf.edu/ or Facebook and Instagram: UCF
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an allied field. An MSc degree in a relevant area is desirable though not necessary. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning
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(Python required; R, C++ appreciated). Strong interest in network modeling, multi-criteria optimization, or graph theory. Skills in statistics and data analysis. Experience in 3D modeling, phenotyping
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, such as Python and C++ Self-driven, motivated, and creative in designing image analysis pipeline according to project requirements A good communication skills with a good command of written and spoken
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analysis using custom MATLAB or Python scripts. The candidate should also have broad knowledge in molecular and cell biology and biophysics. The responsibilities of the position are: (1) Manage and
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research on human-AI interaction on social media. The ideal candidate will possess advanced knowledge of R and/or Python software, have experience performing statistical analyses on large datasets, have