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experience in designing and conducting experiments with human participants, as well as acquiring and analysing MEG and/or EEG data, is essential. • Excellent command of Python for scientific computing and
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of science Years of Research Experience None Additional Information Eligibility criteria PhD in Earth/environmental sciences/remote sensing with applications in AI Linux, Python, good command of
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, GROMACS, or ASE), machine learning potentials (MACE), DFT calculations (VASP), programming (Python, PyTorch), and knowledge of nanofluidics, statistical thermodynamics, and data analysis. Website for
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, and disinformation. • Write scientific articles in English and present the findings at conferences and symposia. • Produce, version, and document the Python scripts, Jupyter notebooks, and
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software development - Experience with Labchart++, Matlab, or Python. - Ability to use PowerLab and signal amplifiers. Additional comments For any additional information, you can contact Isabelle
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Proficiency: Excellent command of Python and fluency with the PyTorch framework for developing and adapting neural network architectures. Signal Processing: Solid understanding of signal processing, which
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java), script writing (python, perl), R software and shell Unix - Good communication of scientific results -Knowledge on evolution, statistics, evolutionary genomics, especially for sex chromosome
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representations of auditory scenes; • Developing, testing and documenting reusable Python analysis pipelines, with appropriate validation procedures and statistical tests; • Contributing to experiment preparation
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research and data analysis, and proficient in written and spoken English. Good programming skills (e.g. Python, R, or MATLAB) and previous experience with EEG/fNIRS/fMRI/eye-tracking/computational
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analysis methods. Experience with programming or data analysis tools, particularly R and/or Python. Ability to integrate and interpret data from different sources. Interest in, or initial experience with