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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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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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. Proficiency in Python, MATLAB, or R. Strong quantitative and analytic skills. Preferred Qualifications Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models). Experience with
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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
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programming languages like Python or Matlab environment. Knowledge for programming (python) would be a plus for the force curves interpretation since some codes have been developed for the 3D -AFM data analysis
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engineering Machine learning or AI methods (e.g. anomaly detection, classification, regression, time-series modelling) Programming skills (e.g. Python, MATLAB or similar) Experience with industrial systems
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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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closely related field. You are skilled in data-driven modelling methodologies, data analytics, and programming (Python, MATLAB, C/C++) You have a keen interest in real-time systems and digital twin
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interest in learning, adaptation, and dynamical systems in physical contexts Experience with analytical and\or computational modeling. Proficiency in numerical methods and coding (Python, JAX, MATLAB
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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