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Program
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pipelines to extract biological signals from noisy data sets using Python, MATLAB, and/or LabVIEW. Collaboration: Work alongside biologists to translate raw sensor data into insights explaining the mechanisms
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research potential. Candidates will be considered with background in the areas of hyperbolic PDEs and optimization problems. Expertise in numerical simulations (with Matlab or Python) will be valued
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(semantics/prosody preferred). Experience with neuroimaging (e.g., fMRI) and quantitative analysis. Proficiency in Python/MATLAB or similar tools. Record of peer-reviewed publications and independent research
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(e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written and oral
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simulation and laboratory testing of marine renewable energy technologies. Competence in data management, statistical analysis, and visualization tools (e.g., MATLAB, R, Python). Knowledge of marine operations
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geography. Experience with marine and coastal modelling tools such as SWASH, SWAN, Delft3D, XBeach and/or SFINCS. Advanced working knowledge of MATLAB and/or Python, and experience with QGIS (with confidence
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Matlab or equivalent programming languages (e.g. R, Python) Database and project management skills Knowledge of statistical techniques Good information technology and computing skills and experience with
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a related field who bring hands-on expertise in in vivo calcium imaging or electrophysiology, along with strong data analysis experience in Python and/or MATLAB. Candidates who combine quantitative
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in a research environment a plus General languages (preferred): C++, Python, MATLAB CUDA (strongly preferred) Machine learning knowledge. e.g. logistic regression, SVM, neural network models Basic
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considerable advantage You have strong programming skills, with experience in interfacing with modern control systems being a major plus. Knowledge of Python and/or Matlab is advantageous. Previous experience