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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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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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processing, or condition monitoring Programming proficiency in Python, MATLAB, or comparable environments Strong interest in applying AI to real-world manufacturing problems Required people skills Self
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semiconductor devices is helpful Basic programming skills (e.g. Python or MATLAB); prior simulation experience is an advantage Interest in nanoscale transport phenomena and physical modeling Independent
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science, electrical engineering or a related discipline Solid background in solid-state physics and/or semiconductor devices is helpful Basic programming skills (e.g. Python or MATLAB); prior simulation
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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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, multi-task and pay attention to detail. Relevant research experience, knowledge of statistics, and familiarity with programming languages (e.g. R/Python/Matlab) are highly desirable. Prior experience
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computer science and/or information technology courses, face to face, as needed. Introductory computer science courses require knowledge of Python, C, C++, or Matlab programming languages. Introductory
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) or similar. You should also excel at building and automating heat‑flux and temperature measurement set-ups using LabVIEW, MATLAB or equivalent software. Familiarity with ultra‑low‑conductivity materials (e.g
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foundation for image analysis (e.g., affine transformations, convolutional filters, matrix and morphological operations) Programming skills in Python, MATLAB, and/or experience with ImageJ, Napari, Imaris