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, C/C++, GOAL, OGR, Pandas/GeoPandas, R/R-spatial, MATLAB, FORTRAN, and NetworkX. Proficient with both QGIS and ArcGIS for cartographic production and tool development. Familiarity with legacy
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Research intuition Experience in programming (Python, R, Matlab, C++) Excellent communication and collaborative white board skills Meticulous and detail-oriented, and innately driven to understand issues
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not have exceeded two years previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc
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reproducible computational workflows. This is an excellent opportunity for someone with strong programming skills in Python, MATLAB, or R, and an interest in computational neuroscience, to contribute directly to
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experience: – Recommended: Data analysis using Matlab or Python (signal processing, electrophysiology, image analysis, and statistics) – Optional: Two-photon microscopy, development in LabVIEW • Personal
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and track record in R&D and standardization. Prior experience in state-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python, C, Matlab, …) Self-driven, highly
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Biology, Physiological Sciences, or a related field plus three (3) years of experience in a related position. Experience must include three (3) years working with: (i) macaque monkeys; (ii) Matlab
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(MATLAB, R, etc.). Version control best practice, annotation of code. Written and spoken English. Data visualisation and extracting meaning from data. Leadership (or potential to develop in this area
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should hold a Honour first degree and/or a Master’s degree in Mechanical Engineering, Control Systems, Mechatronics, or a closely related discipline. The ideal candidate will have strong skills in MATLAB
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background in micrometeorology, soil physics, environmental instrumentation and use of programming languages like MATLAB and R. A valid driver’s license is preferred. Funding details The grant allows for a