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(e.g., python, tcl) The candidate will also help with mentorship and training graduate and undergraduate students. The terms of employment, which would be a year, with a possibility of renewal, include a
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programming languages and tools commonly used for medical systems integration and visualization (e.g., Python, C/C++, MATLAB, LabVIEW). Duration and Compensation This is a full-time appointment, with
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in LaTeX and good programming skills (typically in one of R, Python, or Julia, with the capacity to learn). Familiarity with, and readiness to apply, the principles of open research, including code
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/Python coding, next-generation sequencing data interpretation, large-scale data integration, and machine learning. Science: strengthen the ability to formulate hypotheses, design aims to test the
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Multiphysics software (COMSOL and/or Abaqus), python/matlab coding and Molecular Dynamics Simulator (LAMMPs). 4. Publications in mechanical metamaterials, soft robotics, or related area in peer-reviewed
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large remote sensing datasets (e.g., Landsat, Sentinel-2, MODIS) and spatial datasets (e.g., FACTs, FTEM, field data) both locally with R/Python and via Google Earth Engine for wild-treatment outcome
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optics and related models and techniques, or interest to learn them Programming skills (e.g., Python, Matlab, FORTRAN, C, C++) Advanced English (written and spoken) Will to learn new techniques and
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record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in programming languages/software such as MATLAB, Python, R, Stata, as well as GIS
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(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C
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analysis (e.g., R, Python, GraphPad) Research and Analytical Abilities: Experimental design and troubleshooting Complex problem solving and critical thinking Data interpretation and utilization Knowledge