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demonstrated in previous projects. Research experience in the related areas is a plus but not required. Good programming skills (e.g. in C/C++, Rust or Python) are also a plus. Additional Information Benefits A
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with Python, ImageJ, and/or MATLAB is highly beneficial for image processing and data analysis. Communication: Excellent written and spoken communication skills in English are essential for effective
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. Experience with chemometrics and informatics (Python programming). Solid theoretical background in molecular and cell biology and experience with glycoproteomics or glycomics will be considered a strong plus
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scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science
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programming languages (Python or C++), machine learning/deep learning, computational chemistry and polymer chemistry is an advantage. You have a good knowledge of English, both oral and written. Your research
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Degree or equivalent Skills/Qualifications Strong programming skills in Python, Fortran or similar scientific programming languages are required. Experience with finite-element modelling and high
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and fatigue analysis. Experience in coding (e.g., Python) and in the use of structural analysis software (e.g., Abaqus, OpenSees) is desirable. Familiarity with virtual sensing techniques, state
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learning and deep learning applied to electroencephalography in the context of brain-computer interfaces, including experience with MATLAB and Python and in the design and conduct of experimental studies
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experience, deemed equivalent by the GRC (or delegate). The ideal PhD candidate will have: A strong background in machine learning, deep learning, and signal processing Proficiency in Python and machine
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should ideally have experience in: Essential Deep learning and machine learning Computer vision Python programming PyTorch or TensorFlow Strong mathematical and analytical skills Desirable Video