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Field
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. 2. Data Processing & Analysis · Process and analyze motion capture, EMG, force plate, and/or musculoskeletal modeling data using specialized software (e.g., Visual3D, MATLAB, etc.). · Perform
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sequence optimization using phantom solutions as well as proficiency in Siemens Idea Compilers (VE11c, XA 30, XA31, XA 60 and XA61) and Matlab-based MRSI raw data extraction and linear as well as non-linear
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discussions using Adobe Premiere Pro in accordance with IRB and University of Oklahoma protocols Summarize and analyze discussion content and survey data using data software like Python, MATLAB, R, and/or
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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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visualization using tools such as MATLAB, Python and R. ● Collaborate with the team to integrate genetic and genomic data with clinical and imaging data to improve disease modeling. ● Present findings in
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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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, with a focus on Cyber Security, Machine Learning and/or Data Mining Strong publication records in reputable journals/conferences Excellent programming skills in e.g., Python, Matlab, C++, etc Good
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Experience with working with metamaterials Experience with MATLAB software platform For informal enquiries please contact Prof Marc Holderied; 44 117 3941190; marc.holderied@bristol.ac.uk Contract type: Open
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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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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