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Field
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) experience with collection and analysis of human physiology, EEG, eye-tracking and behavioural data in a cognitive neuroscience lab. Good to advanced programming skills (Matlab, Python, R) for experimental
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engineering, or another related field Strong knowledge of Machine Learning theory and methods, and related Deep Learning approaches Excellent knowledge of programming in Python and scientific libraries used
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data processing, single-cell data processing, and Matlab, R, or Python, and scientific illustrations will be an advantage. Finally, the ideal applicant also has high proficiency in spoken and written
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LevelPhD or equivalent Skills/Qualifications - Excellent knowledge in architecture of quantized and pruned neural networks - Solid programming skills, languages C / C++ / Python - Solid knowledge in
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coding abilities, including skills in statistical analysis (e.g., R), computational methods (e.g., NLP methods), programming (e.g., Python), online research tools (e.g., Qualtrics) Strong interpersonal
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(e.g., Python, R, SQL) is an advantage, experience with big data, remote sensing, modelling, or automation of analytical processes is welcome. LanguagesENGLISHLevelGood Research FieldGeographyYears
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optimization techniques. You have experience with modern Deep Learning Frameworks (PyTorch, Tensorflow, Jax) and proven ability of CUDA and Python programming. Knowledge of, or prior experience with, optimizing
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Intelligence/Machine Learning (AI/ML) methods in agriculture (Agro-AI/ML); and Experience in programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic
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and Experience Strong statistical analysis and data handling skills Understanding of data structures, data modelling and data management Ability to write robust, reproducible code in Python or R
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/or evolutionary spectral synthesis codes; c) proficient use of the astronomical data analysis software package ESO-MIDAS; d) surface photometry; e) programming in Python and at least one high-level