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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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in Python and deep learning frameworks (PyTorch or TensorFlow), with experience in implementing and training complex neural network architectures. Ability to work as an independent researcher with a
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part of a team to collect research data in patients Strong analytical and technical skills (e.g. in MRI physics, AI, image processing or reconstruction) Strong computational skills (e.g. coding in python
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clinical colleagues. Excellent programming skills (MATLAB or Python preferred). Proven track record of publishing research outputs. Apply Before: 05/01/2026, 23:59
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precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also
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environments such as R, Java, Python, C++; Ability to communicate statistical concepts and data analysis interpretations to the group; Experience in genetic analysis of environmental exposure risk factors
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Additional Qualifications Strong confidence with and/or facility to learn Matlab or Python-level programming Strong interest and experience in systems neuroscience, electrophysiology, or primate behavior
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the reference section of the application. Please upload additional documents (e.g. published papers, software tools) to the “other documents” tab as needed. Preferred Qualifications: Water remote sensing, Python
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of the Research Grant Holder Statute. Preferential factors: Previous training in Bioinformatics. Previous knowledge and/or experience in programming, preferentially on Python language. Knowledge on the area of
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. Knowledge of process mineralogy, froth flotation through past research, coursework, or job experience. Proficiency in programming (Python, Julia) (provide evidence with specific examples). Experience with