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. - Proficiency with Python and data analysis frameworks. - Familiarity with large, complex datasets and modern computational techniques. - Good written and oral scientific communication skills. • Experience
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. • Proficient experience with various robotics simulators (e.g., MuJoCo, PyBullet, Gazebo) and excellent programming skills in C++, Python, and MATLAB with the ability to develop efficient, production-quality
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and sound judgment in data analysis and interpretation Proficiency in R or Python for statistical analysis and modelling Experience leading research teams or managing research projects (for Senior
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fields • Prior experience in analysing EEG data. • Possess strong programming skills (mostly Python) and familiar with statistical methods. • Have good communication and writing skills
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motivated individual with capacity to work independently. Good time management and planning; Good publication track record; Some knowledge of Building Energy Modelling, GIS and programming language (Python, R
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postdoctoral experience). Proficient coding skills in at least one of Matlab, R and Python. Experience and proficient in processing different types of remote sensing datasets. Experience with terrestrial
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: Proficiency in Python and major deep learning frameworks such as PyTorch or TensorFlow Familiarity with transformer architectures and large language models (e.g., BERT, GPT) Experience in building, training
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simulations (LAMMPS, GROMACS). • Strong background in statistical mechanics and Python scripting (PyTorch/JAX for ML applications). • Ability to independently design and execute research projects, with a track
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analysis (e.g., knowledge of Qualtrics, R, Python, etc., with strong statistical theory). An outstanding research record appropriate to the present stage of career, with evidence of potential for producing
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planning. b) Have knowledge of statistical computing, data science, data modelling, or data visualisation languages and software (e.g., PowerBI, Python, R, SAS, SPSS, SQL, Tableau, etc.) c) Have experience