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-supervised tasks (i.e. k-nearest neighbours, Decision Trees, Neural Networks, Logistic Regression, Gradient Boosting, Self-Organizing Maps); Advanced knowledge of Python programming, namely numpy, pandas
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6. of this Notice. Preferred factors: Knowledge in machine learning and programming (Python), deep learning (e.g., tensorflow, pytorch) and time-series modeling in marine ecology applications
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learning models. b) Experience in using data analysis software (e.g., SPSS, JASP, JAMOVI) and R and/or Python programming. 5. Workplace: The workplace is located at the Center for Psychology at University
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