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Computer Science, Engineering, Data Science, Human-Computer Interaction, Robotics, Cognitive Science, Psychology, or a related field. Strong programming skills, preferably in Python, with experience in machine
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quantitative data analysis using MATLAB, Python, or Mathematica etc. Good oral- and written communication skills in English are essential, along with great attention to detail and record-keeping in the lab
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datasets, and conducting quantitative analyses using software such as R or Python. Experience with marine habitat mapping, environmental monitoring data, side-scan sonar, or remote sensing is desirable
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analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing
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analyses and developing habitat maps using marine datasets. Applicants should possess strong analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB
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have experience using GIS software such as ArcGIS or QGIS, managing scientific datasets, and conducting quantitative analyses using software such as R or Python. Experience with marine habitat mapping
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, models, and frameworks. Proficiency in programming languages commonly used in bioinformatics and AI research (e.g., Python, TensorFlow, PyTorch, Nextflow). Record of publications in top-tier conferences
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ML domains, such as deep learning, reinforcement learning, or human-centered ML. Proficiency in programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch), with evidence in
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Computer Science, Engineering, Data Science, Human-Computer Interaction, Robotics, Cognitive Science, Psychology, or a related field. Strong programming skills, preferably in Python, with experience in machine
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Science, Psychology, or a related field. Strong programming skills, preferably in Python, with experience in machine learning and data analysis. Familiarity with one or more of the following areas